ABSTRACT
This course presents timely, relevant examples on how researchers have leveraged perceptual information for optimization of rendering algorithms, to better guide design and presentation in (3D stereoscopic) display media, and for improved visualization of complex or large data sets. Each presentation will provide references and short overviews of cutting-edge current research pertaining to that area. We will ensure that the most up-to-date research examples are presented by sourcing information from recent perception and graphics conferences and journals such as ACM Transactions on Perception, paying particular attention work presented at the 2010 Symposium on Applied Perception in Graphics and Visualization.
Supplemental Material
- B. D. Adelstein, T. G. Lee, and S. R. Ellis. Head tracking latency in virtual environments: Psychophysics and a model. In Proc. of the 47th Annual Human Factors and Ergonomics Society meeting, pages 2083--2087, 2003.Google ScholarCross Ref
- Stéphane Albin, Gilles Rougeron, Bernard Péroche, and Alain Trémeau. Quality image metrics for synthetic images based on perceptual color differences. IEEE Transactions on Image Processing, 11(9):961--971, 2002. Google ScholarDigital Library
- Robert S. Allison, Laurence R. Harris, Michael Jenkin, Urszula Jasiobedzka, and James E. Zacher. Tolerance of temporal delay in virtual environments. In VR '01: Proceedings of the Virtual Reality 2001 Conference (VR'01), page 247, Washington, DC, USA, 2001. IEEE Computer Society. Google ScholarDigital Library
- D. Ariely. Seeing sets: Representation by statistical properties. Psychological Science, 12(2):157--162, 2001.Google ScholarCross Ref
- Ronald Azuma and Gary Bishop. Improving static and dynamic registration in an optical see-through hmd. In SIGGRAPH '94: Proceedings of the 21st annual conference on Computer graphics and interactive techniques, pages 197--204, New York, NY, USA, 1994. ACM. Google ScholarDigital Library
- J. H. Bailey and B. G. Witmer. Learning and transfer of spatial knowledge in a virtual environment. Proc. of the Human Factors and Ergonomics Society 38th Annual Meeting, pages 1158--1162, 1994.Google ScholarCross Ref
- Dirk Bartz, Douglas Cunningham, Jan Fischer, and Christian Wallraven. Star state of the art report the role of perception for computer graphics, 2008.Google Scholar
- James P. Bliss, Philip D. Tidwell, and Michael A. Guest. The effectiveness of virtual reality for administering spatial navigation training to firefighters. Presence, 6(1):73--86, 1997.Google ScholarDigital Library
- Mark R. Bolin and Gary W. Meyer. A perceptually based adaptive sampling algorithm. Computer Graphics, 32(Annual Conference Series):299--309, August 1998. Google ScholarDigital Library
- M. R. Bolin and G. W. Meyer. A frequency based ray tracer. In ACM SIGGRAPH '95 Conference Proceedings, pages 409--418, 1995. Google ScholarDigital Library
- K. R. Brandt, J. M. Gardiner, and C. N. Macrae. The distinctiveness effect in forenames: The role of subjective experiences and recognition memory. British Journal of Psychology, pages 269--280, 2006.Google ScholarCross Ref
- K. R. Brandt, C. N. Macrae, A. M. Schloerscheidt, and A. B. Milne. Do i know you? target typicality and recollective experience. Memory, 11(1):89--100, 2003.Google ScholarCross Ref
- W. Brewer and J. Treyens. Role of schemata in memory for places. Cognitive Psychology, 13:207--230, 1981.Google ScholarCross Ref
- D. E. Broadbent and M. H. P. Broadbent. From detection to identification: Response to multiple targets in rapid serial visual presentation. Perception and Psychophysics, 42(4):105--113, 1987.Google ScholarCross Ref
- T. C. Callaghan. Dimensional interaction of hue and brightness in preattentive field segregation. Perception & Psychophysics, 36(1):25--34, 1984.Google ScholarCross Ref
- T. C. Callaghan. Interference and domination in texture segregation: Hue, geometric form, and line orientation. Perception & Psychophysics, 46(4):299--311, 1989.Google ScholarCross Ref
- T. C. Callaghan. Interference and dominance in texture segregation. In D. Brogan, editor, Visual Search, pages 81--87. Taylor & Francis, New York, New York, 1990.Google Scholar
- J. Cataliotti and A. Gilchrist. Local and global processes in lightness perception. In Perception and Psychophysics, volume 57(2), pages 125--135. Perception, 1995.Google ScholarCross Ref
- K. Cater, A. Chalmers, and G. Ward. Detail to attention: exploiting visual tasks for selective rendering. In EGRW '03: Proceedings of the 14th Eurographics workshop on Rendering, pages 270--280, Aire-la-Ville, Switzerland, Switzerland, 2003. Eurographics Association. Google ScholarDigital Library
- Heinrich Conference Chair-Bülthoff and Tom Conference Chair- Troscianko. Apgv '05: Proceedings of the 2nd symposium on applied perception in graphics and visualization. A Coro na, Spain, 2005.Google Scholar
- Roland W. Conference Chair-Fleming and Sunghee Conference Chair- Kim. Apgv '06: Proceedings of the 3rd symposium on applied perception in graphics and visualization. Boston, Massachusetts, 2006.Google Scholar
- Victoria Conference Chair-Interrante, Ann Conference Chair-McNamara, Heinrich Program Chair-Bulthoff, and Holly Program Chair-Rushmeier. Apgv '04: Proceedings of the 1st symposium on applied perception in graphics and visualization. Los Angeles, California, 2004.Google Scholar
- Christian Conference Chair-Wallraven and Veronica Conference Chair-Sundstedt. Apgv '07: Proceedings of the 4th symposium on applied perception in graphics and visualization. Tubingen, Germany, 2007.Google Scholar
- et AL. Conway, M. A. Changes in memory awareness during learning: The acquisition of knowledge by psychology undergraduates. Journal of Experimental Psychology: General, 126(4):393 413, 1997.Google ScholarCross Ref
- Scott Daly. The visible differences predictor: an algorithm for the assessment of image fidelity. In Digital images and human vision, pages 179--206, Cambridge, MA, USA, 1993. MIT Press. Google ScholarDigital Library
- Kate Devlin, Alan Chalmers, Alexander Wilkie, and Werner Purgathofer. Star: Tone reproduction and physically based spectral rendering. In Dieter Fellner and Roberto Scopignio, editors, State of the Art Reports, Eurographics 2002, pages 101--123, Vienna, September 2002. The Eurographics Association.Google Scholar
- S. A. Dewhurst, S. J. Holmes, K. R. Brandt, and G. M. Dean. Measuring the speed of the conscious components of recognition memory: Remembering is faster than knowing. Consciousness and Cognition, 15:147--162, 2006.Google ScholarCross Ref
- Huong Q. Dinh, Neff Walker, Chang Song, Akira Kobayashi, and Larry F. Hodges. Evaluating the importance of multi-sensory input on memory and the sense of presence in virtual environments. In VR '99: Proceedings of the IEEE Virtual Reality, page 222, Washington, DC, USA, 1999. IEEE Computer Society. Google ScholarDigital Library
- George Drettakis, Nicolas Bonneel, Carsten Dachsbacher, Sylvain Lefebvre, Michael Schwarz, and Isabelle Viaud-Delmon. An interactive perceptual rendering pipeline using contrast and spatial masking. In Rendering Techniques (Proceedings of the Eurographics Symposium on Rendering). Eurographics, June 2007. Google ScholarDigital Library
- S. R. Ellis, K. Mania, B. D. Adelstein, and M. I. Hill. Generalizability of latency detection in a variety of virtual environments. In Proc. of the 48th Annual Human Factors and Ergonomics Society meeting, 2004.Google Scholar
- S. R. Ellis, M. J. Young, S. M. Ehrlich, and B. D. Adelstein. Discrimination of changes of rendering latency during voluntary hand movement. In Proc. of the 43th Annual Human Factors and Ergonomics Society meeting, pages 1182--1186, 1999.Google ScholarDigital Library
- S. R. Ellis, A. Wolfram, and B. D. Adelstein. Large amplitude three-dimensional tracking in augmented environments: a human performance trade-off between system latency and update rate. In Proc. of the 46th Annual Human Factors and Ergonomics Society meeting, 2002.Google Scholar
- Stephen R. Ellis, F. Breant, Brian M. Menges, Richard H. Jacoby, and Bernard D. Adelstein. Operator interaction with visual objects: Effect of system latency. HCI (2), pages 973--976, 1997.Google Scholar
- Stephen R. Ellis, Mark J. Young, Bernard D. Adelstein, and Sheryl M. Ehrlich. Discrimination of changes in latency during head movement. HCI (2), pages 1129--1133, 1999. Google ScholarDigital Library
- Land. M. F. Motion and vision: why animals move their eyes. Journal of Comparative Physiology A: Neuroethology, Sensory, Neural, and Behavioural Physiology, 185(4):341--352, 1999.Google Scholar
- Jean-Philippe Farrugia and Bernard Péroche. A progressive rendering algorithm using an adaptive perceptually based image metric. Comput. Graph. Forum, 23(3):605--614, 2004.Google ScholarCross Ref
- J. Ferwerda. Hi-fi rendering. ACM Siggraph Eurographics campfire on perceptually adaptive graphics. http://isg.cs.tcd.ie/campfire/jimferwerda2.html, 2001.Google Scholar
- Philip W. Fink, Patrick S. Foo, and William H. Warren. Obstacle avoidance during walking in real and virtual environments. ACM Trans. Appl. Percept., 4(1):2, 2007. Google ScholarDigital Library
- R. Flannery, K. A. Walles. How does schema theory apply to real versus virtual memories? Cyberspychology and Behavior, 6(2):151--159, 2003.Google ScholarCross Ref
- Harald Frenz, Markus Lappe, Marina Kolesnik, and Thomas Bührmann. Estimation of travel distance from visual motion in virtual environments. ACM Trans. Appl. Percept., 4(1):3, 2007. Google ScholarDigital Library
- J. M. Gardiner and A. Richardson-klavehn. Remembering and knowing. In: Tulving, E. and Craik, F. I. M., eds. Handbook of Memory, 1992.Google Scholar
- S. Gibson and R. J. Hubbold. Efficient hierarchical refinement and clustering for radiosity in complex environments. Computer Graphics Forum, 15(5):297--310, 1996.Google ScholarCross Ref
- A. Gilchrist, S. Delman, and A. Jacobsen. The classification and integration of edges as critical to the perception of reflectance and illumination. Perception and Psychophysics, 33(5):425--436, 1983.Google ScholarCross Ref
- A. L. Gilchrist. The perception of surface blacks and whites. Scientific American, 240(3):88--97, March 1979.Google ScholarCross Ref
- Alan Gilchrist and Alan Jacobsen. Perception of lightness and illumination in a world of one reflectance. Perception, 13:5--19, 1984.Google ScholarCross Ref
- Baining Guo. Progressive radiance evaluation using directional coherence maps. In SIGGRAPH '98: Proceedings of the 25th annual conference on Computer graphics and interactive techniques, pages 255--266, New York, NY, USA, 1998. ACM. Google ScholarDigital Library
- Jörg Haber, Karol Myszkowski, Hitoshi Yamauchi, and Hans-Peter Seidel. Perceptually guided corrective splatting. Computer Graphics Forum, 20(3), 2001.Google Scholar
- Christopher G. Healey and James T. Enns. Building perceptual textures to visualize multidimensional datasets. In Proceedings Visualization '98, pages 111--118, Research Triangle Park, North Carolina, 1998. Google ScholarDigital Library
- Christopher G. Healey and James T. Enns. Large datasets at a glance: Combining textures and colors in scientific visualization. IEEE Transactions on Visualization and Computer Graphics, 5(2):145--167, 1999. Google ScholarDigital Library
- David Hedley, Adam Worrall, and Derek Paddon. Selective culling of discontinuity lines. In Julie Dorsey and Philipp Slusallek, editors, Rendering Techniques '97 (Proceedings of the Eighth Eurographics Workshop on Rendering), pages 69--80. Springer Wien, 1997. ISBN 3-211-83001-4. Google ScholarDigital Library
- R. Held, A. Efsathiouand, and M Greene. Adaptation to displaced and delayed visual feedback from the hand. Journal of Experimental Psychology, 72(6):887--891, 1966.Google ScholarCross Ref
- L. Huang and H. Pashler. A boolean map theory of visual attention. Psychological Review, 114(3):599--631, 2007.Google ScholarCross Ref
- L. Huang, A. Treisman, and H. Pashler. Characterizing the limits of human visual awareness. Science, 317:823--825, 2007.Google ScholarCross Ref
- Laurent Itti, Christof Koch, and Ernst Niebur. A model of saliency-based visual attention for rapid scene analysis. IEEE Trans. Pattern Anal. Mach. Intell., 20(11):1254--1259, 1998. Google ScholarDigital Library
- B. Julész. Foundations of Cyclopean Perception. University of Chicago Press, Chicago, Illinois, 1971.Google Scholar
- B. Julész. Experiments in the visual perception of texture. Scientific American, 232:34--43, 1975.Google ScholarCross Ref
- B. Julész. A theory of preattentive texture discrimination based on first-order statistics of textons. Biological Cybernetics, 41:131--138, 1981.Google ScholarCross Ref
- B. Julész, E. N. Gilbert, and L. A. Shepp. Inability of humans to discriminate between visual textures that agree in second-order statistics---revisited. Perception, 2:391--405, 1973.Google ScholarCross Ref
- B. Julész, E. N. Gilbert, and J. D. Victor. Visual discrimination of textures with identical third-order statistics. Biological Cybernetics, 31:137--140, 1978.Google ScholarDigital Library
- J. Y. Jung, B. D. Adelstein, and S. R. Ellis. Discriminability of prediction artifacts in a time delayed virtual environment. In Proc. of the 44th Annual Human Factors and Ergonomics Society meeting, pages 499--502, 2000.Google ScholarCross Ref
- Grzegorz Krawczyk, Karol Myszkowski, and Hans-Peter Seidel. Light-ness perception in tone reproduction for high dynamic range images. In The European Association for Computer Graphics 26th Annual Conference EUROGRAPHICS 2005, volume 24 of Computer Graphics Forum, pages xx--xx, Dublin, Ireland, 2005. Blackwell.Google Scholar
- Grzegorz Krawczyk, Karol Myszkowski, and Hans-Peter Seidel. Computational model of lightness perception in high dynamic range imaging. In Bernice E. Rogowitz, Thrasyvoulos N. Pappas, and Scott J. Daly, editors, Human Vision and Electronic Imaging XI, IS&T SPIE's 18th Annual Symposium on Electronic Imaging (2006), volume xxxx, pages xxx--xxx, 2006.Google Scholar
- Gregory Ward Larson, Holly Rushmeier, and Christine Piatko. A Visibility Matching Tone Reproduction Operator for High Dynamic Range Scenes. IEEE Transactions on Visualization and Computer Graphics, 3(4):291--306, October 1997. Google ScholarDigital Library
- William B. Lathrop and Mary K. Kaiser. Perceived orientation in physical and virtual environments: changes in perceived orientation as a function of idiothetic information available. Presence: Teleoper. Virtual Environ., 11(1):19--32, 2002. Google ScholarDigital Library
- Guillaume Lavoué. A roughness measure for 3d mesh visual masking. In APGV '07: Proceedings of the 4th symposium on Applied perception in graphics and visualization, pages 57--60, New York, NY, USA, 2007. ACM. Google ScholarDigital Library
- A. Liu, S. Tharp, L. Lai, French, and L. Stark. Some of what one needs to know about using head-mounted displays to improve teleoperator performance. IEEE Transactions on Robotics and Automation, 9(5):638--648, 1995.Google ScholarCross Ref
- G. Liu, E. Austen, K. Booth, B. Fischer, M. Rempel, and J. Enns. Multiple object tracking is based on scene, not retinal, coordinates. Journal of Experimental Psychology: Human Perception and Performance, 31(2):235--247, 2005.Google ScholarCross Ref
- G. R. Loftus and N. H. Mackworth. Cognitive determinants of fixation location during picture viewing. Educational Psychology: Human Perception and Performance, 4(4):565--572, 1978.Google ScholarCross Ref
- A. Mack and I. Rock. Inattentional Blindness. MIT Press, Menlo Park, California, 2000.Google Scholar
- G. W. Maconcie and L. C. Loschky. Human performance with a gaze linked multi-resolutional display. In Proceedings of the Advanced Displays and Interactive Displays First Annual Symposium 1997, pages 25--34, 1997.Google Scholar
- K. Mania, A. Robinson, and K. Brandt. The effect of memory schemata on object recognition in virtual environments. Presence, Teleoperators and Virtual Environments, 14(5):606--615, 2005. Google ScholarDigital Library
- K. Mania, T. Troscianko, R. Hawkes, and A. Chalmers. Fidelity metrics for virtual environment simulations based on human judgments of spatial memory awareness states. Presence, Teleoperators and Virtual Environments, 12(3):296--310, 2003. Google ScholarDigital Library
- Katerina Mania, Bernard D. Adelstein, Stephen R. Ellis, and Michael I. Hill. Perceptual sensitivity to head tracking latency in virtual environments with varying degrees of scene complexity. In APGV '04: Proceedings of the 1st Symposium on Applied perception in graphics and visualization, pages 39--47, New York, NY, USA, 2004. ACM. Google ScholarDigital Library
- Katerina Mania, Shahrul Badariah, Matthew Coxon, and Phil Watten. Cognitive transfer of spatial awareness states from immersive virtual environments to reality. ACM Trans. Appl. Percept., 7(2):1--14, 2010. Google ScholarDigital Library
- Katerina Mania, Dave Wooldridge, Matthew Coxon, and Andrew Robinson. The effect of visual and interaction fidelity on spatial cognition in immersive virtual environments. IEEE Trans. Vis. Comput. Graph., 12(3):396--404, 2006. Google ScholarDigital Library
- Rafal Mantiuk, Karol Myszkowski, and Hans-Peter Seidel. A perceptual framework for contrast processing of high dynamic range images. In APGV '05: Proceedings of the 2nd symposium on Applied perception in graphics and visualization, pages 87--94, New York, NY, USA, 2005. ACM. Google ScholarDigital Library
- G Marmitt and A. Duchowski. Modeling visual attention in vr: measuring the accuracy of predicted scanpaths. Proceedings of Eurographics 2002, Short Presentations, pages 217--226, 2002.Google Scholar
- Jeffrey McCandless, Stephen R. Ellis, and Bernard D. Adelstein. Localization of a time-delayed, monocular virtual object superimposed on a real environment. Presence, 9(1):15--24, 2000. Google ScholarDigital Library
- B. H. McCormick, T. A. DeFanti, and M. D. Brown. Visualization in scientific computing. Computer Graphics, 21(6):1--14, 1987.Google Scholar
- A. McNamara. Evaluating image quality metrics vs. human evaluation. ACM SIGGRAPH 2000 Sketches Program, 2000.Google Scholar
- Ann McNamara. Visual perception in realistic image synthesis. Comput. Graph. Forum, 20(4):211--224, 2001.Google ScholarCross Ref
- Ann McNamara. Visual perception in realistic image synthesis. Comput. Graph. Forum, 20(4):211--224, 2001.Google ScholarCross Ref
- Michael Meehan, Sharif Razzaque, Mary C. Whitton, and Frederick P. Brooks, Jr. Effect of latency on presence in stressful virtual environments. In VR '03: Proceedings of the IEEE Virtual Reality 2003, page 141, Washington, DC, USA, 2003. IEEE Computer Society. Google ScholarDigital Library
- G. W. Meyer and A. Liu. Color spatial acuity control of a screen subdivision image synthesis algorithm. Human Vision, Visual Processing, and Digital Display, 1666(3):387--399, 1992.Google Scholar
- Don P. Mitchell. Generating antialiased images at low sampling densities. Computer Graphics, 21(4):65--72, July 1987. Google ScholarDigital Library
- Yann Morvan and Carol O'Sullivan. A perceptual approach to trimming unstructured lumigraphs. In APGV '07: Proceedings of the 4th symposium on Applied perception in graphics and visualization, pages 61--68, New York, NY, USA, 2007. ACM. Google ScholarDigital Library
- N. Mourkoussis, F. Rivera, T. Troscianko, T. Dixon, R. Hawkes, and K. Mania. Quantifying fidelity for virtual environment simulations employing memory schema assumptions. ACM Transactions on Applied Perception, 2010. Google ScholarDigital Library
- K. Myszkowski. The visible differences predictor: Applications to global illumination problems. In G. Drettakis and N. Max, editors, Rendering Techniques '98 (Proceedings of Eurographics Rendering Workshop '98), pages 233--236, New York, NY, 1998. Springer Wien.Google Scholar
- K. Myszkowski, A. B. Khodulev, and E. A. Kopylov. Validating global illumination algorithms and software. In Visual Proceedings, Technical Sketch at ACM Siggraph 1997, 1997. Google ScholarDigital Library
- U. Neisser. The control of information pickup in selective looking. In A. D. Pick, editor, Perception and its Development: A Tribute to Eleanor J. Gibson, pages 201--219. Lawrence Erlbaum and Associates, Hilsdale, New Jersey, 1979.Google Scholar
- K. Nemire, R. H. Jacoby, and S. R. Ellis. Simulation fidelity of a virtual environment display. Human Factors, 36(1):1994, 1994.Google ScholarCross Ref
- Carol O'Sullivan, Sarah Howlett, Yann Morvan, Rachel McDonnell, and Keith O'Conor. Perceptually Adaptive Graphics. In Christophe Schlick and Werner Purgathofer, editors, STAR-Proceedings of Eurographics 2004, number STAR-6 in State of the Art Reports, pages 141--164. INRIA and the Eurographics Association, 2004.Google Scholar
- A. J. Parkin, J. M. Gardiner, and R. Rosser. Functional aspects of recollective experience in face recognition. Consciousness and Cognition, 4(4):387--398, 1995.Google ScholarCross Ref
- S. N. Pattanaik, J. A. Ferwerda, D. A. Greenberg, and M. D. Fairchild. A multiscale model of adaptation and spatial vision for realistic imaging. In Computer Graphics (ACM SIGGRAPH '98 Proceedings), pages 287--298, 1998. Google ScholarDigital Library
- Bobby Program Chair-Bodenheimer, Carol Program Chair-O'Sullivan, Katerina Conference Chair-Mania, and Bernhard Conference Chair-Riecke. Apgv '09: Proceedings of the 6th symposium on applied perception in graphics and visualization. Chania, Crete, Greece, 2009.Google Scholar
- Sarah Program Chair-Creem-Regehr and Karol Program Chair-Myszkowski. Apgv '08: Proceedings of the 5th symposium on applied perception in graphics and visualization. Los Angeles, California, 2008.Google Scholar
- P. Rademacher, J. Lengyel, E. Cutrell, and T. Whitted. Measuring the perception of visual realism in images, 2001.Google Scholar
- Ganesh Ramanarayanan, Kavita Bala, and James A. Ferwerda. Perception of complex aggregates. In SIGGRAPH '08: ACM SIGGRAPH 2008 papers, pages 1--10, New York, NY, USA, 2008. ACM. Google ScholarDigital Library
- Ganesh Ramanarayanan, James Ferwerda, Bruce Walter, and Kavita Bala. Visual equivalence: towards a new standard for image fidelity. In SIGGRAPH '07: ACM SIGGRAPH 2007 papers, page 76, New York, NY, USA, 2007. ACM. Google ScholarDigital Library
- Mahesh Ramasubramanian, Sumanta N. Pattanaik, and Donald P. Greenberg. A perceptually based physical error metric for realistic image synthesis. In SIGGRAPH '99: Proceedings of the 26th annual conference on Computer graphics and interactive techniques, pages 73--82, New York, NY, USA, 1999. ACM Press/Addison-Wesley Publishing Co. Google ScholarDigital Library
- J. E. Raymond, K. L. Shapiro, and K. M. Arnell. Temporary suppression of visual processing in an RSVP task: An attentional blink? Journal of Experimental Psychology: Human Perception & Performance, 18(3):849--860, 1992.Google Scholar
- Matthew J. P. Regan, Gavin S. P. Miller, Steven M. Rubin, and Chris Kogelnik. A real-time low-latency hardware light-field renderer. In SIGGRAPH '99: Proceedings of the 26th annual conference on Computer graphics and interactive techniques, pages 287--290, New York, NY, USA, 1999. ACM Press/Addison-Wesley Publishing Co. Google ScholarDigital Library
- Erik Reinhard, Michael Stark, Peter Shirley, and James Ferwerda. Photographic tone reproduction for digital images. In SIGGRAPH '02: Proceedings of the 29th annual conference on Computer graphics and interactive techniques, pages 267--276, New York, NY, USA, 2002. ACM Press. Google ScholarDigital Library
- R. A. Rensink, J. K. O'Regan, and J. J. Clark. To see or not to see: The need for attention to perceive changes in scenes. Psychological Science, 8:368--373, 1997.Google ScholarCross Ref
- Ronald A. Rensink. Seeing, sensing, and scrutinizing. Vision Research, 40(10--12):1469--1487, 2000.Google Scholar
- James C. Rodger and Roger A. Browse. Choosing rendering parameters for effective communication of 3d shape. IEEE Computer Graphics and Applications, 20(2):20--28, 2000. Google ScholarDigital Library
- Thomas B. Sheridan. Remote manipulative control with transmission delay. IEEE Transactions on Human Factors in Electronics, 4(1):25--29, 1963.Google Scholar
- Thomas B. Sheridan. Musings on telepresence and virtual presence. Presence, 1(1):120--125, 1992. Google ScholarDigital Library
- D. J. Simons and R. A. Rensink. Change blindness: Past, present, and future. Trends in Cognitive Science, 9(1):16--20, 2005.Google ScholarCross Ref
- Daniel J. Simons. Current approaches to change blindness. Visual Cognition, 7(1/2/3):1--15, 2000.Google Scholar
- P. H. Smith and J. Van Rosendale. Data and visualization corridors report on the 1998 CVD workshop series (sponsored by DOE and NSF). Technical Report CACR-164, Center for Advanced Computing Research, California Institute of Technology, 1998.Google Scholar
- William A. Stokes, James A. Ferwerda, Bruce J. Walter, and Donald P. Greenberg. Perceptual illumination compone high quality global illumination rendering. ACM Transactions on Graphics, 23(3):742--749, 2004. Google ScholarDigital Library
- Veronica Sundstedt, Efstathios Stavrakis, Michael Wimmer, and Erik Reinhard. A psychophysical study of fixation behavior in a computer game. In APGV '08: Proceedings of the 5th symposium on Applied perception in graphics and visualization, pages 43--50, New York, NY, USA, 2008. ACM. Google ScholarDigital Library
- J. J. Thomas and K. A. Cook. Illuminating the Path: Research and Development Agenda for Visual Analytics. IEEE Press, Piscataway, New Jersey, 2005.Google Scholar
- A. Treisman. Preattentive processing in vision. Computer Vision, Graphics, and Image Processing, 31:156--177, 1985. Google ScholarDigital Library
- A. Treisman. Search, similarity, and integration of features between and within dimensions. Journal of Experimental Psychology: Human Perception & Performance, 17(3):652--676, 1991.Google Scholar
- A. Treisman and S. Gormican. Feature analysis in early vision: Evidence from search asymmetries. Psychological Review, 95(1):15--48, 1988.Google ScholarCross Ref
- E. Tulving. Elements of Episodic Memory. Oxford: Oxford Science Publications, 1992.Google Scholar
- Jack Tumblin and Holly E. Rushmeier. Tone Reproduction for Realistic Images. IEEE Computer Graphics and Applications, 13(6):42--48, November 1993. Google ScholarDigital Library
- S. Uno and M. Slater. The sensitivity of presence to collision response. In VRAIS '97: Proceedings of the 1997 Virtual Reality Annual International Symposium (VRAIS '97), page 95, Washington, DC, USA, 1997. IEEE Computer Society. Google ScholarDigital Library
- C. J. van den Branden Lambrecht. Perceptual models and architectures for video coding applications. PhD thesis, Ecole Polytechnique Federal de Lausanne, 1996.Google Scholar
- David Waller, Earl Hunt, and David Knapp. The transfer of spatial knowledge in virtual environment training. Presence: Teleoper. Virtual Environ., 7(2):129--143, 1998. Google ScholarDigital Library
- B. J. Walter. Density estimation techniques for global illumination. Ph.D. thesis, Cornell University, 1998. Google ScholarDigital Library
- Leonard Wanger. The effect of shadow quality on the perception of spatial relationships in computer generated imagery. In I3D '92: Proceedings of the 1992 symposium on Interactive 3D graphics, pages 39--42, New York, NY, USA, 1992. ACM. Google Scholar
- Colin Ware. Information Visualization: Perception for Design, 2nd Edition. Morgan Kaufmann Publishers, Inc., San Francisco, California, 2004. Google ScholarDigital Library
- Benjamin Watson, Neff Walker, Larry F. Hodges, and Martin Reddy. An evaluation of level of detail degradation in head-mounted display peripheries. Presence, 6(6):630--637, 1997.Google ScholarDigital Library
- Benjamin Watson, Neff Walker, Peter Woytiuk, and William Ribarsky. Maintaining usability during 3d placement despite delay. In VR '03: Proceedings of the IEEE Virtual Reality 2003, page 133, Washington, DC, USA, 2003. IEEE Computer Society. Google ScholarDigital Library
- R. B. Welch, T. T. Blackmon, A. Liu, B. A. Mellers, and L. W. Stark. The effects of pictorial realism, delay of visual feedback and observer interactivity on the subjective sense of presence. Presence, Teleoperators and Virtual Environments, 5(3):263--273, 1996.Google ScholarDigital Library
- Betsy Williams, Gayathri Narasimham, Claire Westerman, John Rieser, and Bobby Bodenheimer. Functional similarities in spatial representations between real and virtual environments. ACM Trans. Appl. Percept., 4(2):12, 2007. Google ScholarDigital Library
- Jeremy M. Wolfe. Guided Search 2.0: A revised model of visual search. Psychonomic Bulletin & Review, 1(2):202--238, 1994.Google Scholar
- Jeremy M. Wolfe and Kyle R. Cave. Deploying visual attention: The Guided Search model. In T. Troscianko and A. Blake, editors, AI and the Eye, pages 79--103. John Wiley & Sons, Inc., Chichester, United Kingdom, 1989.Google Scholar
- Jeremy M. Wolfe, Kyle R. Cave, and Susan L. Franzel. Guided Search: An alternative to the feature integration model for visual search. Journal of Experimental Psychology: Human Perception & Performance, 15(3):419--433, 1989.Google Scholar
- P Zimmons. The Influence of Lighting Quality on Presence and task Performance in Virtual Environment, Unpublished PhD thesis. PhD thesis, University of North Carolina, ftp://ftp.cs.unc.edu/pub/publications/techreports/04-017.pdf, 2005. Google ScholarDigital Library
- Alexandros Zotos, Katerina Mania, and Nicholaos Mourkoussis. A schema-based selective rendering framework. In APGV '09: Proceedings of the 6th Symposium on Applied Perception in Graphics and Visualization, pages 85--92, New York, NY, USA, 2009. ACM. Google ScholarDigital Library
- Aks, D. J., and Enns, J. T. Visual search for size is influenced by a background texture gradient. Journal of Experimental Psychology: Perception and Performance 22, 6 (1996), 1467--1481.Google ScholarCross Ref
- Banks, W. P., and Prinzmetal, W. Configurational effects in visual information processing. Perception & Psychophysics 19 (1976), 361--367.Google ScholarCross Ref
- Bauer, B., Jolicoeur, P., and Cowan, W. B. Visual search for colour targets that are or are not linearly-separable from distractors. Vision Research 36 (1996), 1439--1446.Google ScholarCross Ref
- Bauer, B., Jolicoeur, P., and Cowan, W. B. The linear separability effect in color visual search: Ruling out the additive color hypothesis. Perception & Psychophysics 60, 6 (1998), 1083--1093.Google ScholarCross Ref
- Bergman, L. D., Rogowitz, B. E., and Treinish, L. A. A rule-based tool for assisting colormap selection. In Proceedings Visualization '95 (Atlanta, Georgia, 1995), pp. 118--125. Google ScholarDigital Library
- Bruckner, L. A. On Chernoff faces. In Graphical Representation of Multivariate Data, P. C. C. Wang, Ed. Academic Press, New York, New York, 1978, pp. 93--121.Google ScholarCross Ref
- Callaghan, T. C. Dimensional interaction of hue and brightness in preattentive field segregation. Perception & Psychophysics 36, 1 (1984), 25--34.Google ScholarCross Ref
- Callaghan, T. C. Interference and domination in texture segregation: Hue, geometric form, and line orientation. Perception & Psychophysics 46, 4 (1989), 299--311.Google ScholarCross Ref
- Callaghan, T. C. Interference and dominance in texture segregation. In Visual Search, D. Brogan, Ed. Taylor & Francis, New York, New York, 1990, pp. 81--87.Google Scholar
- Chernoff, H. The use of faces to represent points in kdimensional space graphically. Journal of the American Statistical Association 68, 342 (1973), 361--367.Google ScholarCross Ref
- CIE. CIE Publication No. 15, Supplement Number 2 (E-1.3.1): Official Recommendations on Uniform Color Spaces, Color-Difference Equations, and Metric Color Terms. Commission Internationale de L'Èclairge, 1976.Google Scholar
- Coren, S., and Hakstian, A. R. Color vision screening without the use of technical equipment: Scale development and cross-validation. Perception & Psychophysics 43 (1988), 115--120.Google ScholarCross Ref
- Cutting, J. E., and Millard, R. T. Three gradients and the perception of flat and curved surfaces. Journal of Experimental Psychology: General 113, 2 (1984), 198--216.Google ScholarCross Ref
- D'Zmura, M. Color in visual search. Vision Research 31, 6 (1991), 951--966.Google ScholarCross Ref
- Egeth, H. E., and Yantis, S. Visual attention: Control, representation, and time course. Annual Review of Psychology 48 (1997), 269--297.Google ScholarCross Ref
- Foley, J., and Ribarsky, W. Next-generation data visualization tools. In Scientific Visualization: Advances and Challenges, L. Rosenblum, Ed. Academic Press, San Diego, California, 1994, pp. 103--127.Google Scholar
- Foley, J. D., van Dam, A., Feiner, S. K., and Hughes, J. F. Computer Graphics: Principles and Practice. Addison-Wesley Publishing Company, Reading, Massachusetts, 1990. Google ScholarDigital Library
- Glassner, A. S. Principles of Digital Image Synthesis. Morgan Kaufmann Publishers, Inc., San Francisco, California, 1995. Google ScholarDigital Library
- Grinstein, G., Pickett, R., and Williams, M. EXVIX: An exploratory data visualization environment. In Proceedings Graphics Interface '89 (London, Canada, 1989), pp. 254--261.Google Scholar
- Hallett, P. E. Segregation of mesh-derived textures evaluated by resistance to added disorder. Vision Research 32, 10 (1992), 1899--1911.Google ScholarCross Ref
- Haralick, R. M., Shanmugam, K., and Dinstein, I. Textural features for image classification. IEEE Transactions on System, Man, and Cybernetics SMC-3, 6 (1973), 610--621.Google ScholarCross Ref
- Healey, C. G. Choosing effective colours for data visualization. In Proceedings Visualization '96 (San Francisco, California, 1996), pp. 263--270. Google ScholarDigital Library
- Healey, C. G. Building a perceptual visualisation architecture. Behaviour and Information Technology (in press) (1998).Google Scholar
- Healey, C. G., Booth, K. S., and Enns, J. T. Real-time multivariate data visualization using preattentive processing. ACM Transactions on Modeling and Computer Simulation 5, 3 (1995), 190--221. Google ScholarDigital Library
- Healey, C. G., and Enns, J. T. Building perceptual textures to visualize multidimensional datasets. In Proceedings Visualization '98 (Research Triangle Park, North Carolina, 1998), pp. 111--118. Google ScholarDigital Library
- Interrante, V. Illustrating surface shape in volume data via principle direction-driven 3d line integral convolution. In SIGGRAPH 97 Conference Proceedings (Los Angeles, California, 1997), T. Whitted, Ed., pp. 109--116. Google ScholarDigital Library
- Julész, B. Textons, the elements of texture perception, and their interactions. Nature 290 (1981), 91--97.Google ScholarCross Ref
- Julész, B. A theory of preattentive texture discrimination based on first-order statistics of textons. Biological Cybernetics 41 (1981), 131--138.Google ScholarCross Ref
- Julész, B. A brief outline of the texton theory of human vision. Trends in Neuroscience 7, 2 (1984), 41--45.Google ScholarCross Ref
- Julész, B., and Bergen, J. R. Textons, the fundamental elements in preattentive vision and perception of textures. The Bell System Technical Journal 62, 6 (1983), 1619--1645.Google ScholarCross Ref
- Kawai, M., Uchikawa, K., and Ujike, H. Influence of color category on visual search. In Annual Meeting of the Association for Research in Vision and Ophthalmology (Fort Lauderdale, Florida, 1995), p. #2991.Google Scholar
- Laidlaw, D. H., Ahrens, E. T., Kremers, D., Avalos, M. J., Jacobs, R. E., and Readhead, C. Visualizing diffusion tensor images of the mouse spinal cord. In Proceedings Visualization '98 (Research Triangle Park, North Carolina, 1998), pp. 127--134. Google ScholarDigital Library
- Levkowitz, H. Color icons: Merging color and texture perception for integrated visualization of multiple parameters. In Proceedings Visualization '91 (San Diego, California, 1991), pp. 164--170. Google ScholarDigital Library
- Levkowitz, H., and Herman, G. T. Color scales for image data. IEEE Computer Graphics & Applications 12, 1 (1992), 72--80. Google ScholarDigital Library
- Liu, F., and Picard, R. W. Periodicity, directionality, and randomness: Wold features for perceptual pattern recognition. In Proceedings 12th International Conference on Pattern Recognition (Jerusalem, Israel, 1994), pp. 1--5.Google Scholar
- Mack, A., and Rock, I. Inattentional Blindness. MIT Press, Menlo Park, California, 1998.Google Scholar
- Malik, J., and Perona, P. Preattentive texture discrimination with early vision mechanisms. Journal of the Optical Society of America A 7, 5 (1990), 923--932.Google ScholarCross Ref
- Meier, B. J. Painterly rendering for animation. In SIGGRAPH 96 Conference Proceedings (New Orleans, Louisiana, 1996), H. Rushmeier, Ed., pp. 477--484. Google ScholarDigital Library
- Rao, A. R., and Lohse, G. L. Identifying high level features of texture perception. CVGIP: Graphics Models and Image Processing 55, 3 (1993), 218--233. Google ScholarDigital Library
- Rao, A. R., and Lohse, G. L. Towards a texture naming system: Identifying relevant dimensions of texture. In Proceedings Visualization '93 (San Jose, California, 1993), pp. 220--227. Google ScholarDigital Library
- Reed, T. R., and Hans Du Buf, J. M. A review of recent texture segmentation and feature extraction techniques. CVGIP: Image Understanding 57, 3 (1993), 359--372. Google ScholarDigital Library
- Rensink, R. A., O'Regan, J. K., and Clark, J. J. To see or not to see: The need for attention to perceive changes in scenes. Psychological Science 8 (1997), 368--373.Google ScholarCross Ref
- Rheingans, P., and Tebbs, B. A tool for dynamic explorations of color mappings. Computer Graphics 24, 2 (1990), 145--146. Google ScholarDigital Library
- Robertson, P. K. Visualizing color gamuts: A user interface for the effective use of perceptual color spaces in data displays. IEEE Computer Graphics & Applications 8, 5 (1988), 50--64. Google ScholarDigital Library
- Rogowitz, B. E., and Treinish, L. A. An architecture for rule-based visualization. In Proceedings Visualization '93 (San Jose, California, 1993), pp. 236--243. Google ScholarDigital Library
- Salisbury, M., Wong, M. T., Hughes, J. F., and Salesin, D. H. Orientable textures for image-based pen-and-ink illustration. In SIGGRAPH 97 Conference Proceedings (Los Angeles, California, 1997), T. Whitted, Ed., pp. 401--406. Google ScholarDigital Library
- Schweitzer, D. Artificial texturing: An aid to surface visualization. Computer Graphics (SIGGRAPH 83 Conference Proceedings) 17, 3 (1983), 23--29. Google ScholarDigital Library
- Simon, D. J., and Levin, D. T. Change blindness. Trends in Cognitive Science 1 (1997), 261--267.Google ScholarCross Ref
- Snowden, R. J. Texture segregation and visual search: A comparison of the effects of random variations along irrelevant dimensions. Journal of Experimental Psychology: Human Perception and Performance 24, 5 (1998), 1354--1367.Google ScholarCross Ref
- Tamura, H., Mori, S., and Yamawaki, T. Textural features corresponding to visual perception. IEEE Transactions on Systems, Man, and Cybernetics SMC-8, 6 (1978), 460--473.Google ScholarCross Ref
- Triesman, A. Preattentive processing in vision. Computer Vision, Graphics and Image Processing 31 (1985), 156--177. Google ScholarDigital Library
- Triesman, A. Search, similarity, and integration of features between and within dimensions. Journal of Experimental Psychology: Human Perception & Performance 17, 3 (1991), 652--676.Google Scholar
- Triesman, A., and Gormican, S. Feature analysis in early vision: Evidence from search asymmetries. Psychological Review 95, 1 (1988), 15--48.Google Scholar
- Turk, G., and Banks, D. Image-guided streamline placement. In SIGGRAPH 96 Conference Proceedings (New Orleans, Louisiana, 1996), H. Rushmeier, Ed., pp. 453--460. Google ScholarDigital Library
- Ware, C. Color sequences for univariate maps: Theory, experiments, and principles. IEEE Computer Graphics & Applications 8, 5 (1988), 41--49. Google ScholarDigital Library
- Ware, C., and Beatty, J. C. Using colour dimensions to display data dimensions. Human Factors 30, 2 (1988), 127--142. Google ScholarDigital Library
- Ware, C., and Knight, W. Using visual texture for information display. ACM Transactions on Graphics 14, 1 (1995), 3--20. Google ScholarDigital Library
- Wolfe, J. M. Guided Search 2.0: A revised model of visual search. Psychonomic Bulletin & Review 1, 2 (1994), 202--238.Google Scholar
- Wolfe, J. M., Yu, K. P., Stewart, M. I., Shorter, A. D., Friedman-Hill, S. R., and Cave, K. R. Limitations on the parallel guidance of visual search: Color x color and orientation x orientation conjunctions. Journal of Experimental Psychology: Human Perception & Performance 16, 4 (1990), 879--892.Google Scholar
- Wyszecki, G., and Stiles, W. S. Color Science: Concepts and Methods, Quantitative Data and Formulae, 2nd Edition. John Wiley & Sons, Inc., New York, New York, 1982.Google Scholar
- Aks, D. J. and Enns, J. T. 1996. Visual search for size is influenced by a background texture gradient. J. Experiment. Psych.: Human Percept. Perf. 22, 6, 1467--1481.Google Scholar
- Bergman, L. D., Rogowitz, B. E., and Treinish, L. A. 1995. A rule-based tool for assisting colormap selection. In Proceedings of Visualization '95 (Atlanta, Ga.). 118--125. Google ScholarDigital Library
- Birren, F. 1969. Munsell: A Grammar of Color. Van Nostrand Reinhold Company, New York, New York.Google Scholar
- Brown, R. 1978. Impressionist technique: Pissarro's optical mixture. In Impressionism in Perspective, B. E. White, Ed. Prentice-Hall, Inc., Englewood Cliffs, N. J., 114--121.Google Scholar
- Callaghan, T. C. 1990. Interference and dominance in texture segregation. In Visual Search, D. Brogan, Ed. Taylor & Francis, New York, 81--87.Google Scholar
- Chevreul, M. E. 1967. The Principles of Harmony and Contrast of Colors and Their Applications to the Arts. Reinhold Publishing Corporation, New York.Google Scholar
- CIE. 1978. CIE Publication No. 15, Supplement Number 2 (E-1.3.1, 1971): Official Recommendations on Uniform Color Spaces, Color-Difference Equations, and Metric Color Terms. Commission Internationale de L'Èclairge.Google Scholar
- Coren, S., Ward, L. M., and Enns, J. T. 2003. Sensation and Perception (6th Edition). Wiley, New York, New York.Google Scholar
- Curtis, C. J., Anderson, S. E., Seims, J. E., Fleischer, K. W., and Salesin, D. H. 1997. Computer-generated watercolor. In SIGGRAPH 97 Conference Proceedings (Los Angeles, Calif.). T. Whitted, Ed. ACM, New York, 421--430. Google ScholarDigital Library
- Cutting, J. E. and Millard, R. T. 1984. Three gradients and the perception of flat and curved surfaces. J. Experiment. Psych.: General 113, 2, 198--216.Google Scholar
- Ebert, D. and Rheingans, P. 2000. Volume illustration: Non-photorealistic rendering of volume models. In Proceedings of Visualization 2000 (San Francisco, Calif.). 195--202. Google ScholarDigital Library
- Egeth, H. E. and Yantis, S. 1997. Visual attention: Control, representation, and time course. Ann. Rev. Psychol. 48, 269--297.Google ScholarCross Ref
- Finkelstein, A. and Salesin, D. H. 1994. Multiresolution curves. In SIGGRAPH 94 Conference Proceedings (Orlando, Fla.). A. S. Glassner, Ed. ACM, New York, 261--268. Google ScholarDigital Library
- Gooch, B., Coombe, G., and Shirley, P. 2002. Artistic vision: Painterly rendering using computer vision techniques. In Proceedings of the NPAR 2002 Symposium on Non-Photorealistic Animation and Rendering (Annecy, France). 83--90. Google ScholarDigital Library
- Gooch, B. and Gooch, A. 2001. Non-Photorealistic Rendering. A K Peters, Ltd., Natick, Mass. Google ScholarDigital Library
- Grinstein, G., Pickett, R., and Williams, M. 1989. EXVIS: An exploratory data visualization environment. In Proceedings of Graphics Interface '89 (London, Ont., Canada). 254--261.Google Scholar
- Haberli, P. 1990. Paint by numbers: Abstract image representations. Comput. Graph. (SIGGRAPH 90 Conference Proceedings) 24, 4, 207--214. Google ScholarDigital Library
- Haberli, P. and Segal, M. 1993. Texture mapping as a fundamental drawing primative. In Proceedings of the 4th Eurographics Workshop on Rendering (Paris, France). M. Cohen, C. Puech, and F. Sillion, Eds. 259--266.Google Scholar
- Haralick, R. M., Shanmugam, K., and Dinstein, I. 1973. Textural features for image classiffication. IEEE Trans. Syst., Man, and Cybernet. SMC-3, 6, 610--621.Google Scholar
- Healey, C. G. 1996. Choosing effective colours for data visualization. In Proceedings of Visualization '96 (San Francisco, Calif.). 263--270. Google ScholarDigital Library
- Healey, C. G., Booth, K. S., and Enns, J. T. 1996. High-speed visual estimation using preattentive processing. ACM Trans. Computer-Hum. Interact. 3, 2, 107--135. Google ScholarDigital Library
- Healey, C. G. and Enns, J. T. 1998. Building perceptual textures to visualize multidimensional datasets. In Proceedings of Visualization '98 (Research Triangle Park, N. C.). 111--118. Google ScholarDigital Library
- Healey, C. G. and Enns, J. T. 1999. Large datasets at a glance: Combining textures and colors in scientic visualization. IEEE Trans. Visual. Comput. Graph. 5, 2, 145--167. Google ScholarDigital Library
- Hering, E. 1964. Outlines of a Theory of Light Sense. Harvard University Press, Cambridge, Mass.Google Scholar
- Hertzmann, A. 1998. Painterly rendering with curved brush strokes of multiple sizes. In SIGGRAPH 98 Conference Proceedings (Orlando, Fla.). M. Cohen, Ed. ACM, New York, 453--460. Google ScholarDigital Library
- Hertzmann, A. 2002. Fast texture maps. In Proceedings of the NPAR 2002 Symposium on Non-Photorealistic Animation and Rendering (Annecy, France). 91--96. Google ScholarDigital Library
- Hertzmann, A., Jacobs, C. E., Oliver, N., Curless, B., and Salesin, D. H. 2001. Image analogies. In SIGGRAPH 2001 Conference Proceedings (Los Angeles, Calif.). E. Fiume, Ed. ACM, New York, 327--340. Google ScholarDigital Library
- Hsu, S. C. and Lee, I. H. H. 1994. Drawing and animation using skeletal strokes. In SIGGRAPH 94 Conference Proceedings (Orlando, Fla.). A. Glassner, Ed. ACM, New York, 109--118. Google ScholarDigital Library
- Interrante, V. 2000. Harnessing natural textures for multivariate visualization. IEEE Comput. Graph. Applic. 20, 6, 6--11. Google ScholarDigital Library
- Julész, B. 1975. Experiments in the visual perception of texture. Scient. Amer. 232, 34--43.Google Scholar
- Julész, B. 1984. A brief outline of the texton theory of human vision. Trends Neurosci. 7, 2, 41--45.Google Scholar
- Julész, B., Gilbert, E. N., and Shepp, L. A. 1973. Inability of humans to discriminate between visual textures that agree in second-order statistics---revisited. Perception 2, 391--405.Google ScholarCross Ref
- Julész, B., Gilbert, E. N., and Victor, J. D. 1978. Visual discrimination of textures with identical third-order statistics. Biologic. Cybernet. 31, 137--140.Google ScholarDigital Library
- Kirby, R. M., Marmanis, H., and Laidlaw, D. H. 1999. Visualizing multivalued data from 2D incompressible flows using concepts from painting. In Proceedings of Visualization '99 (San Francisco, Calif.). 333--340. Google ScholarDigital Library
- Laidlaw, D. H. 2001. Loose, artistic "textures" for visualization. IEEE Comput. Graph. Applic. 21, 2, 6--9. Google ScholarDigital Library
- Laidlaw, D. H., Ahrens, E. T., Kremers, D., Avalos, M. J., Jacobs, R. E., and Readhead, C. 1998. Visualizing diffusion tensor images of the mouse spinal cord. In Proceedings of Visualization '98 (Research Triangle Park, N. C.). 127--134. Google ScholarDigital Library
- Lewis, J.-P. 1984. Texture synthesis for digital painting. Comput. Graph. (SIGGRAPH 84 Proceedings) 18, 3, 245--252. Google ScholarDigital Library
- Litwinowicz, P. 1997. Processing images and video for an impressionist effect. In SIGGRAPH 97 Conference Proceedings (Los Angeles, Calif.). T. Whitted, Ed. ACM, New York, 407--414. Google ScholarDigital Library
- Liu, G., Healey, C. G., and Enns, J. T. 2003. Target detection and localization in visual search: A dual systems perspective. Percept. Psychophys. 65, 5, 678--694.Google Scholar
- Lu, A., Morris, C. J., Ebert, D. S., Rheingans, P., and Hansen, C. 2002. Non-photorealistic volume rendering using stippling techniques. In Proceedings of Visualization 2002 (Boston, Mass.). 211--218. Google ScholarDigital Library
- MacEachren, A. M. 1995. How Maps Work. Guilford Publications, Inc., New York.Google Scholar
- Mack, A. and Rock, I. 1998. Inattentional Blindness. MIT Press, Menlo Park, Calif.Google Scholar
- McCormick, B. H., DeFanti, T. A., and Brown, M. D. 1987. Visualization in scientific computing. Comput. Graph. 21, 6, 1--14.Google Scholar
- Meier, B. J. 1996. Painterly rendering for animation. In SIGGRAPH 96 Conference Proceedings, (New Orleans, La.) H. Rushmeier, Ed. ACM, New York, 477--484. Google ScholarDigital Library
- Munsell, A. H. 1905. A Color Notation. Geo. H. Ellis Co., Boston, Mass.Google Scholar
- Pomerantz, J. and Pristach, E. A. 1989. Emergent features, attention, and perceptual glue in visual form perception. J. Experiment. Psych.: Human Percept. Perf. 15, 4, 635--649.Google Scholar
- Posner, M. I. and Raichle, M. E. 1994. Images of mind. Scientific American Library.Google Scholar
- Ramachandran, V. S. and Hirstein, W. 1999. The science of art: A neurological theory of aesthetic experience. J. of Conscious. Stud. 6, 6--7, 15--51.Google Scholar
- Rao, A. R. and Lohse, G. L. 1993a. Identifying high level features of texture perception. CVGIP: Graph. Models Image Process. 55, 3, 218--233. Google ScholarDigital Library
- Rao, A. R. and Lohse, G. L. 1993b. Towards a texture naming system: Identifying relevant dimensions of texture. In Proceedings of Visualization '93 (San Jose, Calif.). 220--227. Google ScholarDigital Library
- Rensink, R. A. 2000. Seeing, sensing, and scrutinizing. Vision Res. 40, 10--12, 1469--1487.Google Scholar
- Rheingans, P. and Ebert, D. 2001. Volume illustration: Nonphotorealistic rendering of volume models. IEEE Trans. Vis. Comput. Graph. 7, 3, 253--264. Google ScholarDigital Library
- Rheingans, P. and Tebbs, B. 1990. A tool for dynamic explorations of color mappings. Comput. Graph. 24, 2, 145--146. Google ScholarDigital Library
- Rogowitz, B. E. and Treinish, L. A. 1993. An architecture for rule-based visualization. In Proceedings of Visualization '93 (San Jose, Calif.). 236--243. Google ScholarDigital Library
- Rood. O. N. 1879. Modern Chromatics, with Applications to Art and Industry. Appleton, New York.Google Scholar
- Rosenblum, L. J. 1994. Research issues in scientific visualization. IEEE Comput. Graph. Applic. 14, 2, 61--85. Google ScholarDigital Library
- Salisbury, M., Anderson, C., Lischinski, D., and Salesin, D. H. 1996. Scale-dependent reproduction of pen-and-ink illustrations. In SIGGRAPH 96 Conference Proceedings (New Orleans, La.). H. Rushmeier, Ed. ACM, New York, 461--468. Google ScholarDigital Library
- Salisbury, M., Anderson, S. E., Barzel, R., and Salesin, D. H. 1994. Interactive pen-and-ink illustrations. In SIGGRAPH 94 Conference Proceedings (Orlando, Fla.). A. S. Glassner, Ed. ACM, New York, 101--108. Google ScholarDigital Library
- Salisbury, M., Wong, M. T., Hughes, J. F., and Salesin, D. H. 1997. Orientable textures for image-based pen-and-ink illustration. In SIGGRAPH 97 Conference Proceedings (Los Angeles, Calif.). T. Whitted, Ed. ACM, New York, 401--406. Google ScholarDigital Library
- Schapiro, M. 1997. Impressionism: Reflections and Perceptions. George Brazillier, Inc., New York.Google Scholar
- Shiraishi, M. and Yamaguchi, Y. 1999. Image moment-based stroke placement. In SIGGRAPH 99 Sketches & Applications (Los Angeles, Calif.). R. Kidd, Ed. ACM, New York, 247. Google ScholarDigital Library
- Simons, D. J. 2000. Current approaches to change blindness. Vis. Cognit. 7, 1/2/3, 1--15.Google Scholar
- Slocum, T. A. 1998. Thematic Cartography and Visualization. Prentice-Hall, Inc., Upper Saddle River, N. J.Google Scholar
- Smith, P. H. and Van Rosendale, J. 1998. Data and visualization corridors report on the 1998 CVD workshop series (sponsored by DOE and NSF). Tech. Rep. CACR-164, Center for Advanced Computing Research, California Institute of Technology.Google Scholar
- Snowden, R. J. 1998. Texture segregation and visual search: A comparison of the effects of random variations along irrelevant dimensions. J. Experiment. Psych.: Human Percept. Perf. 24, 5, 1354--1367.Google Scholar
- Sousa, M. C. and Buchanan, J. W. 1999a. Computer-generated graphite pencil rendering of 3d polygon models. Comput. Graph. Forum (Proceedings Eurographics '99) 18, 3, 195--208.Google Scholar
- Sousa, M. C. and Buchanan, J. W. 1999b. Computer-generated pencil drawings. In Proceedings SKIGRAPH '99 (Banff, Canada).Google Scholar
- Sousa, M. C. and Buchanan, J. W. 2000. Observational models of graphite pencil materials. Comput. Graph. Forum 19, 1, 27--49.Google Scholar
- Strassmann, S. 1986. Hairy brushes. Comput. Graph. (SIGGRAPH 86 Proceedings) 20, 4, 185--194. Google ScholarDigital Library
- Strothotte, T. and Schlechtweg, S. 2002. Non-Photorealistic Computer Graphics: Modeling, Rendering and Animation. Morgan Kaufmann, Inc., San Francisco, Calif. Google ScholarDigital Library
- Takagi, S. and Fujishiro, I. 1997. Microscopic structural modeling of colored pencil drawings. In SIGGRAPH 97 Sketches & Applications (Los Angeles, Calif.). D. S. Ebert, Ed. ACM, New York, 187. Google ScholarDigital Library
- Takagi, S., Fujishiro, I., and Nakajima, M. 1999. Volumetric modeling of artistic techniques in colored pencil drawing. In SIGGRAPH 99 Sketches & Applications (Los Angeles, Calif.). R. Kidd, Ed. ACM, New York, 283. Google ScholarDigital Library
- Tamura, H., Mori, S., and Yamawaki, T. 1978. Textural features corresponding to visual perception. IEEE Trans. Sys., Man, and Cybernet. SMC-8, 6, 460--473.Google Scholar
- Triesman, A. 1985. Preattentive processing in vision. Comput. Vis. Graph. Image Process. 31, 156--177. Google ScholarDigital Library
- Triesman, A. 1991. Search, similarity, and integration of features between and within dimensions. J. Experiment. Psych.: Human Percept. Perf. 17, 3, 652--676.Google Scholar
- Triesman, A. and Gormican, S. 1988. Feature analysis in early vision: Evidence from search asymmetries. Psychol. Rev. 95, 1, 15--48.Google Scholar
- Tufte, E. R. 1983. The Visual Display of Quantitative Information. Graphics Press, Cheshire, Conn. Google ScholarDigital Library
- Tufte, E. R. 1990. Envisioning Information. Graphics Press, Cheshire, Conn. Google ScholarDigital Library
- Tufte, E. R. 1997. Visual Explanations: Images and Quantities, Evidence and Narrative. Graphics Press, Cheshire, Conn. Google ScholarDigital Library
- Venturi, L. 1978. Impressionist style. In Impressionism in Perspective, B. E. White, Ed. Prentice-Hall, Inc., Englewood Cliffs, N. J., 105--113.Google Scholar
- Ware, C. 1988. Color sequences for univariate maps: Theory, experiments, and principles. IEEE Comput Graph. Applic. 8, 5, 41--49. Google ScholarDigital Library
- Ware, C. 2000. Information Visualization: Perception for Design. Morgan-Kaufmann, San Francisco, Calif. Google ScholarDigital Library
- Ware, C. and Knight, W. 1995. Using visual texture for information display. ACM Trans. Graph. 14, 1, 3--20. Google ScholarDigital Library
- Weigle, C., Emigh, W. G., Liu, G., Taylor, R. M., Enns, J. T., and Healey, C. G. 2000. Oriented texture slivers: A technique for local value estimation of multiple scalar fields. In Proceedings of Graphics Interface 2000 (Montréal, Quebec, Canada). 163--170.Google Scholar
- Winkenbach, G. and Salesin, D. H. 1994. Computer-generated pen-and-ink illustration. In SIGGRAPH 94 Conference Proceedings (Orlando, Fla.). A. Glassner, Ed. ACM, New York, 91--100. Google ScholarDigital Library
- Winkenbach, G. and Salesin, D. H. 1996. Rendering free-form surfaces in pen-and-ink. In SIGGRAPH 96 Conference Proceedings (New Orleans, La.). H. Rushmeier, Ed. ACM, New York, 469--476. Google ScholarDigital Library
- Wolfe, J. M. 1994. Guided Search 2.0: A revised model of visual search. Psycho. Bull. Rev. 1, 2, 202--238.Google Scholar
- Wolfe, J. M., Klempen, N., and Dahlen, K. 2000. Post attentive vision. J. Experiment. Psych.: Human Percept. Perf. 26, 2, 693--716.Google Scholar
- Zeki, S. 1999. Inner Vision. Oxford University Press, Oxford, U. K.Google Scholar
- Baltissen, R., and Ostermann, B. 1998. Are the dimiensions underlying aesthetic and affective judgment the same? Empirical Studies of the Arts 16, 2, 97--113.Google Scholar
- Barber, C., Dobkin, D., and Huhdanpaa, H. 1993. The quickhull algorithm for convex hull. Tech. Rep. TR GCG53, The Geometry Center, University of Minnesota, Minneapolis, MN.Google Scholar
- Barber, C., Dobkin, D., and Huhdanpaa, H. 1996. The quickhull algorithm for convex hulls. ACM Trans. Math. Softw. 22, 4, 469--483. Google ScholarDigital Library
- Berlyne, D. 1971. Aesthetics and Psychobiology. Appleton-Century-Crofts, New York, NY.Google Scholar
- Birkhoff, G. 1932. Aesthetic Measure. Harvard University Press, Cambridge, MA.Google Scholar
- Brown, Kevin, Q. 1979. Voronoi diagrams from convex hulls. Information Processing Letters 9, 5, 223--228.Google Scholar
- Davis, R. 1936. An evaluation and test of birkhoff's aesthetic measure and formula. Journal of General Psychology 15, 231--240.Google Scholar
- Garland, M., and Heckbert, P. S. 1997. Surface simplification using quadric error metrics. In SIGGRAPH 97 Conference Proceedings, T. Whitted, Ed., 209--216. Google ScholarDigital Library
- Garland, M., and Heckbert, P. S. 1998. Simplifying surfaces with color and texture using quadric error metrics. In Proceedings Visualization '98, 263--269. Google ScholarDigital Library
- Garland, M. 1999. The Design, Use, and Required Facilities of an Interactive Visual Computer Simulation Language to Explore Production Planning Problems. Ph.D. thesis, Carnegie Mellon University, Pittsburg, PA.Google Scholar
- Grigoryan, G., and Rheingans, P. 2002. Probabilistic surfaces: Point based primitives to show uncertainty. In Proceedings Visualization 2002, 147--153. Google ScholarDigital Library
- Haeberli, P. 1990. Paint by numbers: Abstract image representations. Computer Graphics (SIGGRAPH 90 Conference Proceedings) 24, 4, 207--214. Google ScholarDigital Library
- Healey, C. G., Tateosian, L., Enns, J. T., and Remple, M. 2004. Perceptually based brush strokes for nonphotorealistic visualization. ACM Trans. Graph. 23, 1, 64--96. Google ScholarDigital Library
- Hertzmann, A. 1998. Painterly rendering with curved brush strokes of multiple sizes. In SIGGRAPH 98 Conference Proceedings, M. Cohen, Ed., 453--460. Google ScholarDigital Library
- Hertzmann, A. 2002. Fast texture maps. In Proceedings NPAR 2002 Symposium on Non-Photorealistic Animation and Rendering, 91--96. Google ScholarDigital Library
- Holman, D., Vertegaal, R., Sohn, C., and Cheng, D. 2004. Attentive display: paintings as attentive user interfaces. In CHI '04: Extended abstracts of the 2004 conference on Human factors and computing systems, ACM Press, 1127--1130. Google ScholarDigital Library
- Hsu, S. C., and Lee, I. H. H. 1994. Drawing and animation using skeletal strokes. In SIGGRAPH 94 Conference Proceedings, A. Glassner, Ed., 109--118. Google ScholarDigital Library
- Kirby, R. M., Marmanis, H., and Laidlaw, D. H. 1999. Visualizing multivalued data from 2D incompressible flows using concepts from painting. In Proceedings Visualization '99, 333--340. Google ScholarDigital Library
- Laidlaw, D. H., Ahrens, E. T., Kremers, D., Avalos, M. J., Jacobs, R. E., and Readhead, C. 1998. Visualizing diffusion tensor images of the mouse spinal cord. In Proceedings Visualization '98, 127--134. Google ScholarDigital Library
- Lewis, J.-P. 1984. Texture synthesis for digital painting. Computer Graphics (SIGGRAPH 84 Proceedings) 18, 3, 245--252. Google ScholarDigital Library
- Litwinowicz, P. 1997. Processing images and video for an impressionist effect. In SIGGRAPH 97 Conference Proceedings, T. Whitted, Ed., 407--414. Google ScholarDigital Library
- Lu, A., Morris, C. J., Ebert, D. S., Rheingans, P., and Hansen, C. 2002. Non-photorealistic volume rendering using stippling techniques. In Proceedings Visualization 2002, 211--218. Google ScholarDigital Library
- Meier, B. J. 1996. Painterly rendering for animation. In SIGGRAPH 96 Conference Proceedings, H. Rushmeier, Ed., 477--484. Google ScholarDigital Library
- Pham, B. 1991. Expressive brush strokes. Computer Vision, Graphics and Image Processing 53, 1, 1--6. Google ScholarDigital Library
- Ramachandran, V. 2000. The science of art: How the brain responds to beauty. In Understanding wisdom: Sources, science, and society., W. S. Brown, Ed. Templeton Foundation Press., Philadelphia, PA.Google Scholar
- Rheingans, P., and Ebert, D. 2001. Volume illustration: Nonphotorealistic rendering of volume models. IEEE Transactions on Visualization and Computer Graphics 7, 3, 253--264. Google ScholarDigital Library
- Salisbury, M., Anderson, S. E., Barzel, R., and Salesin, D. H. 1994. Interactive pen-and-ink illustrations. In SIGGRAPH 94 Conference Proceedings, A. S. Glassner, Ed., 101--108. Google ScholarDigital Library
- Salisbury, M., Wong, M. T., Hughes, J. F., and Salesin, D. H. 1997. Orientable textures for image-based pen-and-ink illustration. In SIGGRAPH 97 Conference Proceedings, T. Whitted, Ed., 401--406. Google ScholarDigital Library
- Secord, A. 2002. Weighted voronoi stippling. In Proceedings NPAR 2002 Symposium on Non-Photorealistic Animation and Rendering, 37--43. Google ScholarDigital Library
- Shiraishi, M., and Yamaguchi, Y. 2000. An algorithm for automatic painterly rendering based on local source image approximation. In Proceedings NPAR 2000 Symposium on Non-Photorealistic Animation and Rendering, 53--58. Google ScholarDigital Library
- Stompel, A., Lum, E., and Ma, K.-L. 2002. Feature-enhanced visualization of multidimensional, multivariate volume data using non-photorealistic rendering techniques. In 10th Pacific Conference on Computer Graphics and Applications, 1--8. Google ScholarDigital Library
- Strassmann, S. 1986. Hairy brushes. Computer Graphics (SIGGRAPH 86 Proceedings) 20, 4, 185--194. Google ScholarDigital Library
- Tateosian, L. G. 2002. Nonphorealistic visualization of multidimensional datasets. Master's thesis, North Carolina State University.Google Scholar
- Walter, J. D., and Healey, C. G. 2001. Attribute preserving dataset simplification. In VIS '01: Proceedings of the conference on Visualization '01, IEEE Computer Society, 113--120. Google ScholarDigital Library
- Wilson, B., and Ma, K.-L. 2004. Rendering complexity in computer-generated pen-and-ink illustrations. In NPAR '04: Proceedings of the 3rd international symposium on Nonphotorealistic animation and rendering, ACM Press, 129--137. Google ScholarDigital Library
- Winkenbach, G., and Salesin, D. H. 1994. Computer-generated pen-and-ink illustration. In SIGGRAPH 94 Conference Proceedings, A. Glassner, Ed., 91--100. Google ScholarDigital Library
- Winkenbach, G., and Salesin, D. H. 1996. Rendering parametric surfaces in pen-and-ink. In SIGGRAPH 96 Conference Proceedings, H. Rushmeier, Ed., 469--476. Google ScholarDigital Library
- Wooding, D. 2002. Eye movements of large populations: Ii. deriving regions of interest, coverage, and similarity using fixation maps. Behavior Research Methods, Instruments, and Computers 34, 4, 518--528.Google Scholar
Index Terms
- Perceptually-motivated graphics, visualization and 3D displays
Recommendations
Visualization and Computer Graphics on Isotropically Emissive Volumetric Displays
The availability of commodity volumetric displays provides ordinary users with a new means of visualizing 3D data. Many of these displays are in the class of isotropically emissive light devices, which are designed to directly illumi-nate voxels in a 3D ...
Comments