Is appearance-based structure from motion viable?

Proceedings - 2nd International Conference on 3-D Digital Imaging and Modeling, 3DIM 1999

Volumn , Issue , 1999, Pages 447-454

  Difranco, David ^a   Kang, Sing Bing ^b,c  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b HEWLETT PACKARD COMPANY   (United States)

^c MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

3-D FACE MODELING; APPEARANCE BASED; APPEARANCE PREDICTIONS; ORIGINAL IMAGES; SHAPE DEFORMATION; STRUCTURE AND MOTIONS; STRUCTURE FROM MOTION;

THREE DIMENSIONAL COMPUTER GRAPHICS;

EID: 84943342684     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IM.1999.805376     Document Type: Conference Paper

References (21)

1. P. E. Debevec, C. J. Taylor, and J. Malik. Model-ing and rendering architecture from photographs: A hybrid geometry-and image-based approach. Com-puter Graphics (SIGGRAPH'96), pages 11-20, Au-gust 1996.
2. O. Faugeras. Three-dimensional computer vision: A geometric viewpoint. MIT Press, Cambridge, Mas-sachusetts, 1993.
3. O. D. Faugeras. What can be seen in three dimen-sions with an uncalibrated stereo rig? In Second Eu-ropean Conference on Computer Vision (ECCV'92), pages 563-578, Santa Margherita Liguere, Italy, May 1992. Springer-Verlag.
4. A. W. Fitzgibbon, G. Cross, and A. Zisserman. Auto-matic 3D model construction for turn-table sequences. In Workshop on 3D Structure from Multiple Images of Large-scale Environments, June 1998.
5. R. I. Hartley. Projective reconstruction and invariants from multiple images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(10):1036-1041, October 1994.
6. A. Heyden. Reconstruction from image sequences by means of relative depths. In Fifth International Con-ference on Computer Vision (ICCV'95), pages 1058-1063, Cambridge, Massachusetts, June 1995. IEEE Computer Society Press.
7. A. Heyden and K. Astrom. Euclidean reconstruction from constant intrinsic parameters. In Proc.s 13th In-ternational Conference on Pattern Recognition, pages 339-343, 1996.
8. S. B. Kang. Quasi-euclidean recovery from unknown but complete orbital motion. Technical Report CRL 97/10, Cambridge Research Lab., Digital Equipment Corp., October 1997.
9. R. Koch. Dynamic 3d scene analyisis through synthe-sis feedback control. IEEE Transactions on Pattern Analiysis and Machine Intelligence, PAMI-15(6):556-568, June 1993.
10. H. C. Longuet-Higgins. A computer algorithm for re-constructing a scene from two projections. Nature, 293:133-135, 1981.
11. Y. Matsumoto, H. Terasaki, K. Sugimoto, and T. Arakawa. A portable three-dimensional digitizer. In International Conference on Recent Advances in 3-D Digital Imaging and Modeling, pages 197-204, Ot-tawa, Canada, May 1997.
12. S. Negahdaripour and B. Horn. Direct passive navi-gation. IEEE Transactions on Pattern Analiysis and Machine Intelligence, PAMI-9(1), January 1987.
13. M. Pollefeys, L. Van Gool, and A. Oosterlinck. Eu-clidean reconstruction from image sequences with vari-able focal length. In Fourth European Conference on Computer Vision (ECCV'96), volume 1, pages 31-44, Cambridge, England, April 1996. Springer-Verlag.
14. W. H. Press, B. P. Flannery, S. A. Teukolsky, and W. T. Vetterling. Numerical Recipes in C: The Art of Scientic Computing. Cambridge University Press, Cambridge, England, second edition, 1992.
15. A. Shashua. Projective structure from two uncali-brated images: Structure from motion and recogni-tion. A. I. Memo 1363, Massachusetts Institute of Technology, September 1992.
16. J. Shi and C. Tomasi. Good features to track. In IEEE Computer Society Conference on Computer Vi-sion and Pattern Recognition (CVPR'94), pages 593-600, Seattle, Washington, June 1994. IEEE Computer Society.
17. P. Sturm. Critical motion sequences for monoc-ular self-calibration and uncalibrated Euclidean re-construction. In IEEE Computer Society Confer-ence on Computer Vision and Pattern Recognition (CVPR'97), pages 1100-1105, Puerto Rico, June 1997. IEEE Computer Society.
18. R. Szeliski. Shape from rotation. In IEEE Computer Society Conference on Computer Vision and Pat-tern Recognition (CVPR'91), pages 625-630, Maui, Hawaii, June 1991. IEEE Computer Society Press.
19. R. Szeliski and J. Coughlan. Hierarchical spline-based image registration. In IEEE Computer Society Conference on Computer Vision and Pattern Recogni-tion (CVPR'94), pages 194-201, Seattle, Washington, June 1994. IEEE Computer Society.
20. R. Szeliski and S. B. Kang. Recovering 3D shape and motion from image streams using nonlinear least squares. Journal of Visual Communication and Image Representation, 5(1):10-28, March 1994.
21. R. Y. Tsai and T. S. Huang. Uniqueness and es-timation of three-dimensional motion parameters of rigid objects with curved surfaces. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-6(1):13-27, January 1984.