On computing best fly

Proceedings - SCCG 2007: 23rd Spring Conference on Computer Graphics

Volumn , Issue , 2007, Pages 115-122

  Saleem, Waqar ^a   Song, Wenhao ^a   Belyaev, Alexander ^a   Seidel, Hans Peter ^a  

^a MAX PLANCK INSTITUTE FOR INFORMATICS   (Germany)

Author keywords

Best fly; Remote shape exploration

Indexed keywords

CAMERAS;

3-D SHAPE; 3D SHAPE MODEL; BEST FLY; BEST VIEWS; GEOMETRIC PROPERTIES; VIRTUAL CAMERA;

COMPUTER GRAPHICS;

EID: 84908651589     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2614348.2614365     Document Type: Conference Paper

References (29)

1. 3DOD. 3D on demand. http://www.3dod.org/.
2. 3DSCANREP. The Stanford 3D scanning repository. http://graphics.stanford.edu/data/3Dscanrep/.
3. AIM@SHAPE. AIM@SHAPE shape repository. http://shapes.aimatshape.net/.
4. BORDOLOI, U., AND SHEN, H.-W. 2005. View selection for volume rendering. In IEEE Visualization, 487.494.
5. BRUNSTEIN, D., BAREQUET, G., AND GOTSMAN, C. 2003. Animating a camera for viewing a planar polygon. In VMV '01: Proceedings of the Vision Modeling and Visualization Conference 2001, 87.94.
6. DENTON, T., DEMIRCI, M. F., ABRAHAMSON, J., SHOKOUFANDEH, A., AND DICKINSON, S. 2004. Selecting canonical views for view-based 3-D object recognition. In ICPR '04: Proceedings of the 17th International Conference on Pattern Recognition, IEEE Computer Society, 273.276.
7. DE'SPERATI, C., AND VIVIANI, P. 1997. The relationship between curvature and velocity in two-dimensional smooth pursuit eye movements. The Jounral of Neuroscience 17, 10, 3932. 3945.
8. HALL, P. M., AND OWEN, M. J. 2005. Simple canonical views. In The British Machine Vision Conf. (BMVC'05), vol. 1, 7.16.
9. HENDERSON, J. M., BROCKMOLE, J. R., CASTELHANO, M. S., AND MACK, M. Visual saliency does not account for eye movements during search in real-world scenes. In Eye Movements: A Window on Mind and Brain, R. van Gompel, M. Fischer, W. Murray, and R. Hill, Eds. Elsevier. to appear.
10. KAMILA, N. K., MAHAPATRA, S., AND NANDA, S. 2005. Invariance image analysis using modied Zernike moments. Pattern Recogn. Lett. 26, 6, 747.753.
11. KARYPIS, G., AND KUMAR, V. 1998. MeTiS: A software package for partitioning unstructured graphs, partitioning meshes, and computing ll-reducing orderings of sparse matrices. version 4.0. In http://www-users.cs.umn.edu/.karypis/metis/. Univ. of Minnesota, Dept. of Computer Science.
12. KHOTANZAD, A., AND HONG, Y. H. 1990. Invariant image recognition by Zernike moments. IEEE Trans. on Pattern Analysis and Machine Intelligence 12, 5, 489.497.
13. LEE, J., MOGHADDAM, B., PFISTER, H., AND MACHIRAJU, R. 2004. Finding optimal views for 3D face shape modeling. In International Conf. on Automatic Face and Gesture Recognition, IEEE Computer Society, 31.36.
14. LEE, C. H., VARSHNEY, A., AND JACOBS, D. W. 2005. Mesh saliency. ACM Transactions on Graphics (Proceedings of SIGGRAPH 2005) 24, 3, 659.666.
15. LGMA. Large geometric models archive at Georgia Tech. http://www.cc.gatech.edu/projects/large-models/.
16. MOKHTARIAN, F., AND ABBASI, S. 2000. Automatic selection of optimal views in multi-view object recognition. In The British Machine Vision Conf. (BMVC'00), IEEE Computer Society, 272.281.
17. NDR. National design repository. http://www. designrepository.org/.
18. PDB. Protein data bank. http://www.pdb.org/.
19. PODOLAK, J., SHILANE, P., GOLOVINSKIY, A., RUSINKIEWICZ, S., AND FUNKHOUSER, T. 2006. A planar-reective symmetry transform for 3D shapes. ACM Transactions on Graphics (Proceedings of SIGGRAPH 2006), 549.559.
20. POLONSKY, O., PATANE, G., BIASOTTI, S., GOTSMAN, C., AND SPAGNUOLO, M. 2005. What's in an image? In Visual Computer, Springer-Verlag, 840.847. Proc. of Pacic Graphics 2005.
21. PSB. Princeton shape benchmark. http://shape.cs.princeton.edu/benchmark/.
22. SOKOLOV, D., AND PLEMENOS, D. 2005. Viewpoint quality and scene understanding. In VAST 2005: Eurographics Symposium Proceedings., 67.73.
23. SOKOLOV, D., PLEMENOS, D., AND TAMINE, K. 2006. Methods and data structures for virtual world exploration. The Visual Computer 22, 7, 506.516.
24. SOKOLOV, D., PLEMENOS, D., AND TAMINE, K. 2006. Viewpoint quality and global scene exploration strategies. In International Conference on Computer Graphics Theory and Applications (GRAPP 2006), INSTICC-Institute for Systems and Technologies of Information, Control and Communication.
25. TAKAHASHI, S., FUJISHIRO, I., TAKESHIMA, Y., AND NISHITA, T. 2005. A feature-driven approach to locating optimal viewpoints for volume visualization. In IEEE Visualization, 495.502.
26. VA ZQUEZ, P.-P., FEIXAS, M., SBERT, M., AND HEIDRICH, W. 2001. Viewpoint selection using viewpoint entropy. In VMV '01: Proceedings of the Vision Modeling and Visualization Conference 2001, 273.280.
27. VA ZQUEZ, P.-P., FEIXAS, M., SBERT, M., AND HEIDRICH, W. 2003. Automatic view selection using viewpoint entropy and its applications to image-based modelling. Computer Graphics Forum 22, 4, 689.700.
28. WATT, A., AND WATT, M. 1991. Advanced Animation and Rendering Techniques. ACM Press.
29. YAMAUCHI, H., SALEEM, W., YOSHIZAWA, S., KARNI, Z., BELYAEV, A., AND SEIDEL, H.-P. 2006. Towards stable and salient multi-view representation of 3D shapes. In IEEE International Conference on Shape Modeling and Applications 2006 (SMI2006), 265.270