Presentation | 2007-09-03 Euclidean Reconstruction from Image Sequences with missing data Eijiro SHIBUSAWA, Wataru MITSUHASHI, |
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Abstract(in English) | In this paper we address the problem of estimating the Euclidean structure of a scene from uncalibrated perspective cameras. We use a stratified approach in which the projective structure is firstly recovered from image correspondences by the factorization method and in a subsequent step the previous reconstruction is upgraded to the Euclidean structure by self calibration based on the dual absolute quadric. For the matrix factorization involved in the projective reconstruction, we adopt the resection-intersection technique, which can readily handle image sequences with missing data by ignoring the corresponding components. We also provide a technique to incorporate a minimization on a covariance-weighted reprojection error into the projective factorization and a method to handle the singularity constraints of the absolute dual quadric in the linear solution for self-calibration. |
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Paper # | PRMU2007-57,HIP2007-66 |
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Committee | PRMU |
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Conference Date | 2007/8/27(1days) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Euclidean Reconstruction from Image Sequences with missing data |
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1st Author's Name | Eijiro SHIBUSAWA |
1st Author's Affiliation | Graduate School of Electro-Communications, The University of Electro-Communications() |
2nd Author's Name | Wataru MITSUHASHI |
2nd Author's Affiliation | Graduate School of Electro-Communications, The University of Electro-Communications |
Date | 2007-09-03 |
Paper # | PRMU2007-57,HIP2007-66 |
Volume (vol) | vol.107 |
Number (no) | 206 |
Page | pp.pp.- |
#Pages | 6 |
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