A survey addressing the fundamental matrix estimation problem

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dc.contributor.author Salvi, Joaquim
dc.contributor.author Armangué Quintana, Xavier
dc.contributor.author Pagès Marco, Jordi
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
dc.identifier.uri http://hdl.handle.net/10256/2466
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
dc.relation.ispartof © International Conference on Image Processing : 2001 : Proceedings, 2001, vol. 2, p. 209-212
dc.relation.ispartofseries Articles publicats (D-ATC)
dc.rights Tots els drets reservats
dc.subject Geometria computacional
dc.subject Matrius (Matemàtica)
dc.subject Mètodes iteratius (Matemàtica)
dc.subject Visió per ordinador
dc.subject Computational geometry
dc.subject Computer vision
dc.subject Iterative methods
dc.subject Matrices
dc.title A survey addressing the fundamental matrix estimation problem
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1109/ICIP.2001.958461

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