Line Reconstruction from Many Perspective Images by Factorization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F03%3A03091265" target="_blank" >RIV/68407700:21230/03:03091265 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Line Reconstruction from Many Perspective Images by Factorization
Original language description
This paper brings a new method for line reconstruction from many perspective images by factorization of a matrix containing line correspondences. No point correspondences are used. We formulate the reconstruction from line correspondences in the languageof Pluecker line coordinates. The reconstruction is posed as the factorization of 3m x n matrix S into the product S = Q L of 3m x 6 projection matrix Q and 6 x n line matrix L, both satisfying Klein identities. The matrix S contains coordinates of lines detected in perspective images. Similarly to reconstruction from point correspondences in perspective images, the matrix S has to be properly rescaled before it can be factorized. We propose a scaling of image line coordinates based on trifocal tensorsthat is analogical to the scaling proposed by Sturm and Triggs for points. We propose an SVD based factorization enforcing Klein identities on Q and L in a noise-free situation. We show experiments on real data that suggest that a good r
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
CVPR 2003: Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ISBN
0-7695-1900-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
497-502
Publisher name
IEEE Computer Society Press
Place of publication
Los Alamitos
Event location
Madison
Event date
Jun 16, 2003
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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