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An Iterative Factorization Method Based on Rank 1 for Projective Structure and Motion Shigang LIU Chengke WU Li TANG Jing JIA Publication IEICE TRANSACTIONS on Information and Systems Vol.E88-D No.9 pp.2183-2188 Publication Date: 2005/09/01 Online ISSN: DOI: 10.1093/ietisy/e88-d.9.2183 Print ISSN: 0916-8532 Type of Manuscript: PAPER Category: Image Recognition, Computer Vision Keyword: projective reconstruction, factorization method, recursive structure from motion, Full Text: PDF(261.3KB)>>
Summary: We propose a method for the recovery of projective structure and motion by the factorization of the rank 1 matrix containing the images of all points in all views. In our method, the unknowns are the 3D motion and relative depths of the set of points, not their 3D positions. The coordinates of the points along the camera plane are given by their image positions in the first frame. The knowledge of the coordinates along the camera plane enables us to solve the SFM problem by iteratively factorizing the rank 1 matrix. This simplifies the decomposition compared with the SVD (Singular Value Decomposition). Experiments with both simulated and real data show that the method is efficient for the recovery of projective structure and motion. | ||||||||||
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