ITERATIVE FACTORIZATION APPROACH TO PROJECTIVE RECONSTRUCTION FROM UNCALIBRATED IMAGES WITH OCCLUSIONS(International Workshop on Advanced Image Technology 2009)

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概要

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• This paper addresses the factorization method to estimate the projective structure of a scene from feature(points) correspondences over images with occlusions. We propose both a column and a row space approaches to estimate the depth parameter using the subspace constraints. The projective depth parameters are estimated by maximizing projection onto the subspace based either on the Joint Projection matrix(JPM) or on the the Joint Structure matrix(JSM). We perform the maximization over significant observation and employ Tardif's Camera Basis Constraints(CBC) method for the matrix factorization, thus the missing data problem can be overcome. The depth estimation and the matrix factorization alternate until convergence is reached. Result of Experiments on both real and synthetic image sequences has confirmed the effectiveness of our proposed method.

• 2009-01-05

著者

• Mitsuhashi Wataru

  The University Of Electro-communications

• Shibusawa Eijiro

  The University of Electro-Communications

関連論文

• ITERATIVE FACTORIZATION APPROACH TO PROJECTIVE RECONSTRUCTION FROM UNCALIBRATED IMAGES WITH OCCLUSIONS(International Workshop on Advanced Image Technology 2009)
• ROBUST PROJECTIVE FACTORIZATION IN THE PRESENCE OF MISSING OR UNCERTAIN DATA(INTERNATIONAL Workshop on Advanced Image Technology 2008)
• A SEQUENTIAL FACTORIZATION METHOD FOR EUCLIDEAN RECONSTRUCTION FROM IMAGE SEQUENCES WITH MISSING DATA(International Workshop on Advanced Image Technology 2007)

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