Euclidean shape and motion from multiple perspective views by affine iterations
作者： S. Christy , R. Horaud
DOI: 10.1109/34.544079
关键词: Motion estimation 、 Motion (geometry) 、 Mathematics 、 Camera auto-calibration 、 Euclidean geometry 、 Iterative method 、 Perspective (geometry) 、 Affine transformation 、 Algorithm 、 Artificial intelligence 、 Topology 、 Iterative reconstruction
摘要: We describe a method for solving the Euclidean reconstruction problem with perspective camera model by incrementally performing either weak or paraperspective model. With respect to other methods that compute shape and motion from sequence of images calibrated camera, this converges in few iterations, is computationally efficient, solves sign (reversal) ambiguity. give detailed account method, analyze its convergence, test it both synthetic real data.
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