A survey addressing the fundamental matrix estimation problem

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	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