A survey addressing the fundamental matrix estimation problem
dc.contributor.author
dc.date.accessioned
2010-06-01T11:42:43Z
dc.date.available
2010-05-03T15:15:52Z
2010-06-01T11:42:43Z
dc.date.issued
2001
dc.identifier.citation
Salvi, J., Armangué, X., i Pagès, J. (2001). A survey addressing the fundamental matrix estimation problem. International Conference on Image Processing : 2001 : Proceedings, 2, 209-212. Recuperat 01 maig 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=958461
dc.identifier.isbn
0-7803-6725-1
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dc.description.abstract
Epipolar geometry is a key point in computer vision and the fundamental matrix estimation is the only way to compute it. This article surveys several methods of fundamental matrix estimation which have been classified into linear methods, iterative methods and robust methods. All of these methods have been programmed and their accuracy analysed using real images. A summary, accompanied with experimental results, is given
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
IEEE
dc.relation.isformatof
Reproducció digital del document publicat a: http://dx.doi.org/10.1109/ICIP.2001.958461
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© International Conference on Image Processing : 2001 : Proceedings, 2001, vol. 2, p. 209-212
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Articles publicats (D-ATC)
dc.rights
Tots els drets reservats
dc.subject
dc.title
A survey addressing the fundamental matrix estimation problem
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.identifier.doi