skip to main content
10.1145/1012551.1012562acmconferencesArticle/Chapter ViewAbstractPublication PagesapgvConference Proceedingsconference-collections
Article

An experimental approach to predicting saliency for simplified polygonal models

Published: 07 August 2004 Publication History

Abstract

In this paper, we consider the problem of determining feature saliency for 3D objects and describe a series of experiments that examined if salient features exist and can be predicted in advance. We attempt to determine salient features by using an eye-tracking device to capture human gaze data and then investigate if the visual fidelity of simplified polygonal models can be improved by emphasizing the detail of salient features identified in this way. To try to evaluate the visual fidelity of models simplified using both metrics, a set of naming time, matching time and forced-choice preference experiments were carried out. We found that our perceptually weighted metric led to a significant increase in visual fidelity for the lower levels of detail (LOD) of the natural objects, but that for the man-made artifacts the opposite was true. We therefore conclude that visually prominent features may be predicted in this way for natural objects, but our results show that saliency prediction for synthetic objects is more difficult, perhaps because it is more strongly affected by task. We hope that our results will lead to new insights into the nature of saliency in 3D graphics.

References

[1]
CATER, K., CHALMERS, A., AND WARD, G. 2003. Detail to attention: Exploiting visual tasks for selective rendering. In Proceedings of the 2003 EUROGRAPHICS Symposium on Rendering, EUROGRAPHICS, P. Christensen and D. Cohen-Or, Eds., 270--280.
[2]
CIGNONI, P., MONTANI, C., ROCCHINI, C., AND SCOPIGNO, R. 1998. Zeta: A resolution modeling system. In GMIP: Graphical Models and Image Processing 60, vol. 5, 305--329.
[3]
DAVIS, M. H., MOSS, H. E., DE MORNAY, P., AND TYLER, L. K. 2003. Spot the difference: Investigations of conceptual structure for living things an artificacts using speeded word-picture matching. In Department of Experimental Psychology, University of Cambridge.
[4]
DUCHOWSKI, A. T. 2002. A breadth-first survey of eye tracking applications. In Behavior Research Methods, Instruments, and Computers, 455--470.
[5]
FITTS, P. M., JONES, R., AND MILTON, J. L. 1950. Eye movements of aircraft pilots during instrument-landing approaches. In Aeronautical Engineering Review, vol. 9(2), 24--29.
[6]
GARLAND, M., AND HECKBERT, P. 1997. Surface simplification using quadric error metrics. In Computer Graphics Proceedings, Annual Conference Series, 209--216.
[7]
GEREN, M. A., STROMER, R., AND MACKAY, H. A. 1997. Picture naming, matching to sample, and head injury: a stimulus control analysis. In Journal of applied behaviour analysis, vol. 30, 339--342.
[8]
HAYHOE, M. 2000. Vision using routines: A functional account of vision. In In Visual Cognition 2000, vol. 7(1/2/3), 43--64.
[9]
HENDERSON, J. M., AND HOLLINGWORTH, A. 1998. Eye movements during scene viewing: An overview. In G. Underwood (Ed.), Eye Guidance in Reading and Scene Perception, 269--294.
[10]
HENDERSON, J. M. 1992. Object identification in context: The visual processing of natural scenes. In Canadian Journal of Psychology, vol. 46(3), 319--341.
[11]
ITTI, L., KOCH, C., AND NEIBUR, E. 1998. A model of saliency-based visual attention for rapid scene analysis. In IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20(11), 12541259.
[12]
JACOB, R. J. K. 1993. Eye-movement-based human-computer interaction techniques: Toward non-command interfaces. In Advances in Human-Computer Interaction, vol. 42, 151--190.
[13]
KHO, Y., AND GARLAND, M. 2003. User-guided simplification. In Proceedings of ACM Symposium on Interactive 3D Graphics.
[14]
LAWSON, R., BÜLTHOFF, H., AND DUMBELL, S. 2002. Interactions between view changes and shape changes in picture-picture matching. In Technical Report No. 095.
[15]
LI, G., AND WATSON, B. 2001. Semiautomatic simplification. In In ACM Symposium on Interactive 3D Graphics 2001, 43--48.
[16]
LUEBKE, D., AND HALLEN, B. 2001. Perceptually-driven simplification for interactive rendering. In Proceedings of the 12th Eurographics Workshop on Rendering Techniques.
[17]
POJAR, E., AND SCHMALSTIEG, D. 2003. User-controlled creation of multiresolution meshes. In Proceedings of ACM Symposium on Interactive 3D Graphics.
[18]
REDDY, M. 1998. Specification and evaluation of level of detail selection criteria. In Virtual Reality: Research, Development and Application, vol. 3(2), 132--143.
[19]
ROSCH, E. 1976. Natural categories. In Cognitive Psychology, vol. 4, 328--350.
[20]
RUSHMEIER, H. 2001. Metrics and geometric simplification. In Siggraph Course Notes.
[21]
WATSON, B., WALKER, N., HODGES, L. F., AND WORDEN, A. 1997. Managing level of detail through peripheral degradation: Effects on search performance with a head-mounted display. In ACM Trans. on Computer-Human Interaction, vol. 4, 323--346.
[22]
WATSON, B. A., FRIEDMAN, A., AND MCGAFFEY, A. 2000. Using naming time to evaluate quality predictors for model simplification. In Proceedings of the SIGCHI conference on Human factors in computing systems, 113--120.
[23]
WATSON, B., FRIEDMAN, A., AND MCGAFFEY, A. 2001. Measuring and predicting visual fidelity. In Computer Graphics Proceedings, Annual Conference Series, 213--220.
[24]
WATSON, B. 2003. Frontiers in perceptually-based image synthesis: Modeling, rendering, display, validation. In Siggraph Course, San Diego.
[25]
YEE, H., PATTANAIK, S., AND GREENBERG, D. P. 2001. Spatiotemporal sensitivity and visual attention for efficient rendering of dynamic environments. ACM Press, vol. 20, 39--65.

Cited By

View all

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
APGV '04: Proceedings of the 1st Symposium on Applied perception in graphics and visualization
August 2004
184 pages
ISBN:1581139144
DOI:10.1145/1012551
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 August 2004

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. model simplification
  2. salient features
  3. visual perception

Qualifiers

  • Article

Conference

APGV04
Sponsor:

Acceptance Rates

Overall Acceptance Rate 19 of 33 submissions, 58%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)1
  • Downloads (Last 6 weeks)0
Reflects downloads up to 06 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2022)Learning to Predict 3D Mesh Saliency2022 26th International Conference on Pattern Recognition (ICPR)10.1109/ICPR56361.2022.9956579(4023-4029)Online publication date: 21-Aug-2022
  • (2019)Shades of denialismCommunication Design Quarterly10.1145/3331558.33315617:1(22-39)Online publication date: 10-May-2019
  • (2019)Point Cloud Saliency Detection by Local and Global Feature FusionIEEE Transactions on Image Processing10.1109/TIP.2019.291873528:11(5379-5393)Online publication date: Nov-2019
  • (2018)Perceptual Quality and Visual Experience Analysis for Polygon Mesh on Different Display DevicesIEEE Access10.1109/ACCESS.2018.28592546(42941-42949)Online publication date: 2018
  • (2017)Perception-driven Accelerated RenderingComputer Graphics Forum10.1111/cgf.1315036:2(611-643)Online publication date: 1-May-2017
  • (2014)A subjective quality evaluation for 3D point cloud models2014 International Conference on Audio, Language and Image Processing10.1109/ICALIP.2014.7009910(827-831)Online publication date: Jul-2014
  • (2013)Perceptual Metrics for Static and Dynamic Triangle MeshesComputer Graphics Forum10.1111/cgf.1200132:1(101-125)Online publication date: 15-Jan-2013
  • (2011)Perception of simplification artifacts for animated charactersProceedings of the ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization10.1145/2077451.2077469(93-100)Online publication date: 27-Aug-2011
  • (2011)Assessing Visual Quality of 3-D Polygonal ModelsIEEE Signal Processing Magazine10.1109/MSP.2011.94246628:6(80-90)Online publication date: Nov-2011
  • (2011)Scale and Rotation Invariant Salient Point Detection on 3D MeshAdvances in Information Technology and Education10.1007/978-3-642-22418-8_20(141-144)Online publication date: 2011
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media