Tracking and rendering using dynamic textures on geometric structure from motion

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2351, Issue , 2002, Pages 415-432

  Cobzas, Dana ^a   Jagersand, Martin ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; COMPUTER VISION; GEOMETRY; TEXTURES;

CAMERA GEOMETRY; DYNAMIC TEXTURES; GEOMETRIC STRUCTURE; IMAGE INTENSITIES; INTENSITY IMAGES; PRECISE MODELING; TRACKING ERRORS; UNCALIBRATED IMAGES;

RENDERING (COMPUTER GRAPHICS);

EID: 84948947753     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47967-8_28     Document Type: Conference Paper

References (22)

1. M. Black, D. Fleet, and Y. Yacoob. Robustly estimating changes in image appearance. Computer Vision and Image Understanding, 78(1):8–31, 2000.
2. M. Black, Y. Yacoob, A. Jepson, and D. Fleet. Learning parameterized models of image motion. In Computer Vision and Pattern Recognition, pages 561–567, 1997.
3. D. Cobzas and M. Jagersand. A comparison of non-euclidean image-based rendering. In Proceedings of Graphics Interface, 2001.
4. P. E. Debevec, C. J. Taylor, and J. Malik. Modeling and rendering architecture from phtographs. In Computer Graphics (SIGGRAPH’96), 1996.
5. O. D. Faugeras. Three Dimensional Computer Vision: A Geometric Viewpoint. MIT Press, Boston, 1993.
6. S. J. Gortler, R. Grzeszczuk, and R. Szeliski. The lumigraph. In Computer Graphics (SIGGRAPH’96), pages 43–54, 1996.
7. G. D. Hager and P. N. Belhumeur. Efficient region tracking with parametric models of geometry and illumination. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(10):1025–1039, 1998.
8. M. Jagersand. Saliency maps and attention selection in scale and spatial coordinates: An information theoretic approach. In Fifth International Conference on Computer Vision, 1995.
9. M. Jagersand. Image based view synthesis of articulated agents. In Computer Vision and Pattern Recognition, 1997.
10. K. Kutulakos and S. Seitz. A theory of shape by shape carving. International Journal of Computer Vision, 38:197–216, 2000.
11. M. Levoy and P. Hanrahan. Light field rendering. In Computer Graphics (SIGGRAPH’ 96), pages 31–42, 1996.
12. L. McMillan and G. Bishop. Plenoptic modeling: Am image-based rendering system. In Computer Graphics (SIGGRAPH’95), pages 39–46, 1995.
13. H. Murase and S. Nayar. Visual learning and recognition of 3d objects from appearance. International Journal of Computer Vision, 14:5–24, 1995.
14. M. Pollyfeys. Tutorial on 3D Modeling from Images. Lecture Nores, Dublin, Ireland (in conjunction with ECCV 2000), 2000.
15. W. H. Press, B. Flannery, S. A. Teukolsky, and W. T. Vtterling. Numerical Recipies in C: The Art of Scientific Computing. Cambridge University Press, Cambridge, England, 1992.
16. S. M. Seitz and C. R. Dyer. View morphing. In Computer Graphics (SIGGRAPH’ 96), pages 21–30, 1996.
17. A. Shashua. Geometry and Photometry in 3D Visual Recognition. PhD thesis, MIT, 1993.
18. I. Stamos and P. K. Allen. Integration of range and image sensing for photorealistic 3d modeling. In ICRA, 2000.
19. P. Sturm and B. Triggs. A factorization based algorithm for multi-image projective structure and motion. In ECCV (2), pages 709–720, 1996.
20. R. Szeliski. Video mosaics for virtual environments. IEEE Computer Graphics and Applications, pages 22–30, March 1996.
21. C. Tomasi and T. Kanade. Shape and motion from image streams under orthography: A factorization method. International Journal of Computer Vision, 9:137–154, 1992.
22. D. Weinshall and C. Tomasi. Linear and incremental aquisition of invariant shape models from image sequences. In Proc. of 4th Int. Conf. on Compute Vision, pages 675–682, 1993.