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Navab, N., Deriche, R., and Faugeras, O. D., #Recovering 3D motion and structure from stereo and 2D token tracking cooperation," Proc. Int. Conf. on Comp. Vision, ICCV-90, Osaka, Japan, Dec. 1990, pp. 513#516.

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Motion and Surface Recovery Using Curvature and Motion.. - Soucy, Ferrie (1993)   (5 citations)  (Correct)

....essential task is the same to determine the motion parameters relating corresponding points on surfaces in adjacent views. This problem has a long history in the computer vision literature. Approaches have included the determination of point correspondences and analysis of point configurations [5, 19, 27, 46, 45, 8, 48, 42, 6, 30, 44, 7, 12, 11, 13, 25], the analysis of flow fields [33, 29, 47, 2, 35, 36, 43] and photometric methods [32, 31, 23, 1] The method chosen is a function of both the data and how they are M m x x N x T S X N x Figure 4: Local surface representation the augmented Darboux frame acquired. In our application ....

N. Navab, R. Deriche, and O. Faugeras. Recovering 3d motion and structure from stereo and 2d token tracking cooperation. In Proceedings, 3RD International Conference on Computer Vision, pages 513--516, Osaka, Japan, Dec. 1990. Computer Society of the IEEE, IEEE Computer Society Press.


Surface Recovery Using Curvature and Motion Consistency - Soucy, Ferrie (1995)   (Correct)

....essential task is the same to determine the motion parameters relating corresponding points on surfaces in adjacent views. This problem has a long history in the computer vision literature. Approaches have included the determination of point correspondences and analysis of point configurations [5, 19, 27, 46, 45, 8, 48, 42, 6, 30, 44, 7, 12, 11, 13, 25], the analysis of flow fields [33, 29, 47, 2, 35, 36, 43] and photometric methods [32, 31, 23, 1] The method chosen is a function of both the data and how they are 4 M m x x N x T x p S X N x Figure 4: Local surface representation the augmented Darboux frame acquired. In our ....

N. Navab, R. Deriche, and O. Faugeras. Recovering 3d motion and structure from stereo and 2d token tracking cooperation. In Proceedings, 3RD International Conference on Computer Vision, pages 513--516, Osaka, Japan, Dec. 1990. Computer Society of the IEEE, IEEE Computer Society Press.


Motion and Surface Recovery Using Curvature and Motion.. - Soucy, Ferrie (1993)   (5 citations)  (Correct)

....essential task is the same to determine the motion parameters relating corresponding points on surfaces in adjacent views. This problem has a long history in the computer vision literature. Approaches have included the determination of point correspondences and analysis of point configurations [5, 19, 27, 46, 45, 8, 48, 42, 6, 30, 44, 7, 12, 11, 13, 25], the analysis of flow fields [33, 29, 47, 2, 35, 36, 43] and photometric methods [32, 31, 23, 1] The method chosen is a function of both the data and how they are M m x x N x T x p S X N x Figure 4: Local surface representation the augmented Darboux frame acquired. In our application ....

N. Navab, R. Deriche, and O. Faugeras. Recovering 3d motion and structure from stereo and 2d token tracking cooperation. In Proceedings, 3RD International Conference on Computer Vision, pages 513--516, Osaka, Japan, Dec. 1990. Computer Society of the IEEE, IEEE Computer Society Press.


Combining Intensity and Motion for Incremental - Segmentation And Tracking (1992)   (Correct)

No context found.

Navab, N., Deriche, R., and Faugeras, O. D., #Recovering 3D motion and structure from stereo and 2D token tracking cooperation," Proc. Int. Conf. on Comp. Vision, ICCV-90, Osaka, Japan, Dec. 1990, pp. 513#516.


Surface Recovery Using - Curvature And Motion   (Correct)

No context found.

N. Navab, R. Deriche, and O. Faugeras. Recovering 3d motion and structure from stereo and 2d token tracking cooperation. In Proceedings, 3RD International Conference on Computer Vision, pages 513--516, Osaka, Japan, Dec. 1990. Computer Society of the IEEE, IEEE Computer Society Press.

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