Presentation 2009/1/5
ITERATIVE FACTORIZATION APPROACH TO PROJECTIVE RECONSTRUCTION FROM UNCALIBRATED IMAGES WITH OCCLUSIONS(International Workshop on Advanced Image Technology 2009)
Eijiro Shibusawa, Wataru Mitsuhashi,
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Abstract(in English) 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.
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Keyword(in English) factorization / subspace method / projective reconstruction / missing data
Paper # IE2008-128
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Committee IE
Conference Date 2009/1/5(1days)
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Registration To Image Engineering (IE)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) ITERATIVE FACTORIZATION APPROACH TO PROJECTIVE RECONSTRUCTION FROM UNCALIBRATED IMAGES WITH OCCLUSIONS(International Workshop on Advanced Image Technology 2009)
Sub Title (in English)
Keyword(1) factorization
Keyword(2) subspace method
Keyword(3) projective reconstruction
Keyword(4) missing data
1st Author's Name Eijiro Shibusawa
1st Author's Affiliation The University of Electro-Communications()
2nd Author's Name Wataru Mitsuhashi
2nd Author's Affiliation The University of Electro-Communications
Date 2009/1/5
Paper # IE2008-128
Volume (vol) vol.108
Number (no) 373
Page pp.pp.-
#Pages 5
Date of Issue