Geometry and image based view quality comparison for 3D models

ABSTRACT

In this work we present image-based approach to the best view selection for 3D objects. The proposed method is based on entropy measured in image domain. Several 3D models are used in the experiment. The results are compared to the well-known geometrical method based on perspective frustum entropy, a special case of viewpoint entropy.

References

1. Cernekova, Z., Pitas, I., and Nikou, C. 2006. Information theory-based shot cut/fade detection and video summarization. IEEE Trans. Circuits and Systems for Video Technology 16, 1, 82--91.
2. Christie, M., Olivier, P., and Normand, J.-M. 2008. Camera control in computer graphics. Comput. Graph. Forum 27, 8, 2197--2218.
3. Cover, T. M., and Thomas, J. A. 1991. Elements of Information Theory. John Wiley and Sons, New York.
4. Grossman, J. P., and Dally, W. J. 1998. Point sample rendering. In In Rendering Techniques 98, Springer-Verlag, 181--192.
5. Kamada, T., and Kawai, S. 1988. A simple method for computing general position in displaying three-dimensional objects. Computer Vision, Graphics, and Image Processing 41, 1, 43--56.
6. Lischinski, D., and Rappoport, A. 1998. Image-based rendering for non-diffuse synthetic scenes. In Rendering Techniques '98, Proceedings of the Eurographics Workshop in Vienna, Austria, June 29 - July 1, 1998, Springer, 301--314.
7. McMillan, L., and Bishop, G. 1995. Plenoptic modeling: an image-based rendering system. In SIGGRAPH '95: Proceedings of the 22nd annual conference on Computer graphics and interactive techniques, ACM, 39--46.
8. Nakagawa, M., Takata, M., and Joe, K. 2006. Automatic viewpoint selection for a visualization i/f in a pse. In Proceedings of the Second IEEE International Conference on e-Science and Grid Computing, IEEE Computer Society Washington, DC, USA, 100.
9. Papoulis, A. 1991. Probability, Random Variables, and Stochastic Processes. New York: McGraw-Hill, Inc.
10. Plemenos, D., and Benayada, M. 1996. Intelligent display in scene modeling. new techniques to automatically compute good views. In Proceedings of International Conference on Computer Graphics and Vision (GraphiCon)'96, St Petersbourg (Russia).
11. Plemenos, D., and Sokolov, D. 2006. Intelligent scene display and exploration. In Proceedings of International Conference on Computer Graphics and Vision (GraphiCon)'2006, Novosibirsk (Russia).
12. Polonsky, O., Patanè, G., Biasotti, S., Gotsman, C., and Spagnuolo, M. 2005. What's in an image? The Visual Computer 21, 8--10, 840--847.
13. Sbert, M., Plemenos, D., Feixas, M., and González, F. 2005. Viewpoint quality: Measures and applications. In Proceedings of the Workshop on Computational Aesthetics, Eurographics Association, 185--192.
14. Sokolov, D., Plemenos, D., and Tamine, K. 2006. Methods and data structures for virtual world exploration. The Visual Computer 22, 7, 506--516.
15. Vázquez, P.-P., and Sbert, M. 2002. Automatic keyframe selection for high-quality image-based walkthrough animation using viewpoint entropy. In Proceedings of the 10-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG)'2002, 461--468.
16. Vázquez, P.-P., Feixas, M., Sbert, M., and Heidrich, W. 2001. Viewpoint selection using viewpoint entropy. In Proceedings of the Vision Modeling and Visualization Conference 2001, Aka GmbH, ACM, 273--280.
17. Vázquez, P.-P., Feixas, M., Sbert, M., and Llobet, A. 2002. Viewpoint entropy: a new tool for obtaining good views of molecules. In Proceedings of the symposium on Data Visualisation 2002, Eurographics Association, 183--188.

Index Terms

• Computing methodologies

  • Artificial intelligence

    • Computer vision

      • Image and video acquisition

        • 3D imaging

  • Computer graphics

    • Animation

    • Shape modeling

• Theory of computation

  • Randomness, geometry and discrete structures

    • Computational geometry