Ítem
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Salvi, Joaquim
Armangué Quintana, Xavier Pagès Marco, Jordi |
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| 2001 | |
| 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 | |
| application/pdf | |
| 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 | |
| 0-7803-6725-1 | |
| http://hdl.handle.net/10256/2466 | |
| eng | |
| IEEE | |
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Reproducció digital del document publicat a: http://dx.doi.org/10.1109/ICIP.2001.958461 Articles publicats (D-ATC) |
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| © International Conference on Image Processing : 2001 : Proceedings, 2001, vol. 2, p. 209-212 | |
| Tots els drets reservats | |
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Geometria computacional
Matrius (Matemàtica) Mètodes iteratius (Matemàtica) Visió per ordinador Computational geometry Computer vision Iterative methods Matrices |
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| A survey addressing the fundamental matrix estimation problem | |
| info:eu-repo/semantics/article | |
| DUGiDocs |
