Object and motion recognition using the plane plus parallax displacement of conics
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[1] Michal Irani,et al. Detecting and Tracking Multiple Moving Objects Using Temporal Integration , 1992, ECCV.
[2] Leejay Wu,et al. 3D Interpretation of Conics and Or-thogonality , 1993 .
[3] Harpreet S. Sawhney. Simplifying motion and structure analysis using planar parallax and image warping , 1994, Proceedings of 12th International Conference on Pattern Recognition.
[4] Harpreet S. Sawhney,et al. 3D geometry from planar parallax , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[5] P. Anandan,et al. Direct recovery of shape from multiple views: a parallax based approach , 1994, Proceedings of 12th International Conference on Pattern Recognition.
[6] Rakesh Kumar,et al. Shape Recovery from Multiple Views: A Parallax Based Approach , 1994 .
[7] Amnon Shashua,et al. Projective Structure from Uncalibrated Images: Structure From Motion and Recognition , 1994, IEEE Trans. Pattern Anal. Mach. Intell..
[8] P. Anandan,et al. Accurate computation of optical flow by using layered motion representations , 1994, Proceedings of 12th International Conference on Pattern Recognition.
[9] Harpreet S. Sawhney,et al. Model-based 2D&3D dominant motion estimation for mosaicing and video representation , 1995, Proceedings of IEEE International Conference on Computer Vision.
[10] Long Quan,et al. Conic Reconstruction and Correspondence From Two Views , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[11] Gang Xu,et al. Correspondence and segmentation of multiple rigid motions via epipolar geometry , 1996, Proceedings of 13th International Conference on Pattern Recognition.
[12] Gregory D. Hager,et al. X Vision: Combining Image Warping and Geometric Constraints for Fast Visual Tracking , 1996, ECCV.
[13] Christoph Schnörr,et al. Determining the dominant plane from uncalibrated stereo vision by a robust and convergent iterative approach without correspondence , 1997 .
[14] Douglas R. Heisterkamp. Investigations of conic invariants with application to object recognition and motion analysis , 1998 .
[15] P. Anandan,et al. A Unified Approach to Moving Object Detection in 2D and 3D Scenes , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[16] Gerald Farin,et al. NURBS: From Projective Geometry to Practical Use , 1999 .