Presentation 2003/10/16
Complete Recipe for Factorization
Kenichi KANATANI, Yasuyuki SUGAYA,
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Abstract(in English) The Tomasi-Kanade factorization for reconstructing the 3-D shape of the feature points tracked through a video stream is widely regarded as based on factorization of a matrix by SVD (singular value decomposition). This paper points out that the core principle is the approximation of the imaging by an affine camera model and that SVD is merely one means of numerical computation. We first describe the geometric structure of the problem and then give a complete programming scheme for 3-D reconstruction.
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Keyword(in English) factorization method / affine camera model / orthographic projection / weak perspective projection / paraperspective projection
Paper # PRMU2003-118,NC2003-49
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Committee NC
Conference Date 2003/10/16(1days)
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Registration To Neurocomputing (NC)
Language JPN
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Title (in English) Complete Recipe for Factorization
Sub Title (in English)
Keyword(1) factorization method
Keyword(2) affine camera model
Keyword(3) orthographic projection
Keyword(4) weak perspective projection
Keyword(5) paraperspective projection
1st Author's Name Kenichi KANATANI
1st Author's Affiliation Department of Information Technology, Okayama University()
2nd Author's Name Yasuyuki SUGAYA
2nd Author's Affiliation Department of Information Technology, Okayama University
Date 2003/10/16
Paper # PRMU2003-118,NC2003-49
Volume (vol) vol.103
Number (no) 391
Page pp.pp.-
#Pages 6
Date of Issue