Geometric invariance in computer vision 论文

摘要

Part 1 Foundations: algebraic invariants - invariant theory and enumerative combinatorics of young tableaux, Shreeram S. Abhyankar, geometric interpretation of joint conic invariants, Joseph L. Mundy, et al, an experimental evaluation of projective invariants, Christopher Coelho, et al the projection of two non-coplanar conics, Stephen J. Maybank the non-existence of general-case view-invariants, J. Brian Burns, et al invariants of non-algebraic curves - noise resistant invariants of curves, Isaac Weiss, semi-differential invariants, Luc J. Van Gool, et al, projective invariants for curves in two and three dimensions, Michael H. Brill, et al, numerical evaluation of differential and semi-differential invariants, Christopher Brown, recognizing general curved objects efficiently, Andrew Zisserman, et al fitting affine invariant conics to curves, Deepak Kapur and Joseph L. Mundy, projectively invariant decomposition of planar shapes, Stefan Carlsson invariants from multiple views - invariant linear methods in photogrammetry and model-matching, Eamon B. Barrett, et al semi-differential invariants for nonplanar curves, Luc J. Van Gool, et al disambiguating stereo matches with spatio-temporal surfaces, Olivier Faugeras and Theo Papadopoulo. Part 2 Applications: transformation invariant indexing, Haim J. Wolfson and Yehezkel Lamdan affine invariants for model-based recognition, John E. Hopcroft, et al object recognition based on moment (or algebraic) invariants, Gabriel Taubin and David B. Cooper fast recognition using algebraic invariants, Charles A. Rothwell, et al toward 3D curved object recognition from image contours, Jean Ponce and David J. Kriegman relative positioning with uncalibrated cameras, Roger Mohr, et al. Appendix: projective geometry for machine vision, Joseph L. Mundy and Andrew Zisserman.