An Iterative Factorization Method Based on Rank 1 for Projective Structure and Motion(Image Recognition, Computer Vision)

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概要

• 論文の詳細を見る

• 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.

• 社団法人電子情報通信学会の論文
• 2005-09-01

著者

• Tang Li

  National Key Laboratory Of Isn Xidian University

• Wu Chengke

  National Key Laboratory of ISN, Xidian University

• LIU Shigang

  National Key Laboratory of ISN, Xidian University

• JIA Jing

  National Key Laboratory of ISN, Xidian University

• Jia Jing

  National Key Laboratory Of Isn Xidian University

• Wu Chengke

  National Key Laboratory Of Isn Xidian University

• Liu Shigang

  National Key Laboratory Of Isn Xidian University

関連論文

• Optical Design and Data Processing of LASIS(WSANE2006)
• An Iterative Factorization Method Based on Rank 1 for Projective Structure and Motion(Image Recognition, Computer Vision)

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