Improving the scope of deformable model shape and motion estimation
暂无分享,去创建一个
[1] TerzopoulosDemetri,et al. Dynamic 3D Models with Local and Global Deformations , 1991 .
[2] Dimitris N. Metaxas. Physics-Based Deformable Models , 1996 .
[3] Ruzena Bajcsy,et al. Recovery of Parametric Models from Range Images: The Case for Superquadrics with Global Deformations , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[4] Dimitris N. Metaxas,et al. Dynamic 3D models with local and global deformations: deformable superquadrics , 1990, [1990] Proceedings Third International Conference on Computer Vision.
[5] Bernhard P. Wrobel,et al. Multiple View Geometry in Computer Vision , 2001 .
[6] Alex Pentland,et al. Recursive Estimation of Motion, Structure, and Focal Length , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[7] Richard Szeliski,et al. Recovering 3D Shape and Motion from Image Streams Using Nonlinear Least Squares , 1994, J. Vis. Commun. Image Represent..
[8] Amnon Shashua,et al. Algebraic Functions For Recognition , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[9] Steven M. Seitz. Implicit Scene Reconstruction from Probability Density Functions , 1998 .
[10] Thomas S. Huang,et al. Motion and structure from feature correspondences: a review , 1994, Proc. IEEE.
[11] Alex Pentland,et al. Closed-form solutions for physically-based shape modeling and recognition , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[12] Demetri Terzopoulos,et al. Constraints on Deformable Models: Recovering 3D Shape and Nonrigid Motion , 1988, Artif. Intell..
[13] Dimitris N. Metaxas,et al. Incorporating illumination constraints in deformable models , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).
[14] Pascal Fua,et al. Taking Advantage of Image-Based and Geometry-Based Constraints to Recover 3-D Surfaces , 1996, Comput. Vis. Image Underst..
[15] Alex Pentland,et al. Recovery of non-rigid motion and structure , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[16] Kenichi Kanatani,et al. Statistical optimization for geometric computation - theory and practice , 1996, Machine intelligence and pattern recognition.
[17] Dimitris N. Metaxas,et al. The integration of optical flow and deformable models with applications to human face shape and motion estimation , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[18] Olivier D. Faugeras,et al. Feed-forward recovery of motion and structure from a sequence of 2D-lines matches , 1990, [1990] Proceedings Third International Conference on Computer Vision.
[19] S. B. Kang,et al. Recovering 3 D Shape and Motion from Image Streams using Non-Linear Least Squares , 1993 .
[20] Azriel Rosenfeld,et al. 3-D Shape Recovery Using Distributed Aspect Matching , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[21] P PentlandAlex,et al. Recursive Estimation of Motion, Structure, and Focal Length , 1995 .
[22] P. Anandan,et al. Implicit representation and scene reconstruction from probability density functions , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[23] David J. Kriegman,et al. Structure and Motion from Line Segments in Multiple Images , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[24] Alex Pentland,et al. Recovery of Nonrigid Motion and Structure , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[25] Thomas S. Huang,et al. Determining 3-D motion and structure of a rigid body using straight line correspondences , 1983, ICASSP.
[26] J. Aggarwal,et al. LINE-BASED COMPUTATION OF STRUCTURE AND MOTION USING ANGULAR INVARIANCE. , 1986 .