Projective factorization of planes and cameras in multiple views
暂无分享,去创建一个
[1] O. Faugeras,et al. The Geometry of Multiple Images , 1999 .
[2] P. Anandan,et al. About Direct Methods , 1999, Workshop on Vision Algorithms.
[3] Richard Szeliski,et al. Geometrically Constrained Structure from Motion: Points on Planes , 1998, SMILE.
[4] Lihi Zelnik-Manor,et al. Multi-view subspace constraints on homographies , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[5] J. G. Semple,et al. Algebraic Projective Geometry , 1953 .
[6] Takeo Kanade,et al. A unified factorization algorithm for points, line segments and planes with uncertainty models , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[7] Bill Triggs,et al. Plane+Parallax, Tensors and Factorization , 2000, ECCV.
[8] Björn Johansson. View synthesis and 3D reconstruction of piecewise planar scenes using intersection lines between the planes , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[9] C. Rother,et al. Linear multi view reconstruction and camera recovery , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[10] Radu Horaud,et al. Projective Structure and Motion from Two Views of a Piecewise Planar Scene , 2001, ICCV.
[11] Amnon Shashua,et al. The Rank 4 Constraint in Multiple (>=3) View Geometry , 1996, ECCV.
[12] Bill Triggs,et al. Factorization methods for projective structure and motion , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[13] A. Bartoli,et al. Projective structure and motion from two views of a piecewise planar scene , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[14] Harry Shum,et al. A linear algorithm for camera self-calibration, motion and structure recovery for multi-planar scenes from two perspective images , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).