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Publications | ![]() |
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Domaines Capteurs et modélisation 3D Réalité virtuelle et simulation Thermographie et vision infrarouge Traitement de sequences video Vision biologique Vision cognitive Projets E-Inclusion COBVIS-D Auto21 SKALPEL-ICT COGNOIS VERTEX VRES Chercheurs Christian Gagné Xavier Maldague Denis Poussart Simon Gagné Marc Parizeau Robert Bergevin André Zaccarin Jean-François Lalonde Abdel Hakim Bendada Dates Trier par date dans l'ordre decroissant |
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Estimating fundamental matrix based on planar objects in stereo imagesAbstract - The fundamental matrix plays an important role in an uncalibrated stereo vision system. Because of its sensitivity to image noise, estimating the fundamental matrix is known to be a difficult problem. Many researchers designed algorithms to estimate the fundamental matrix given known corresponding points in stereo images. In this paper, we describe a linear and robust method to estimate the fundamental matrix given the presence of planar surfaces in the scene. ![]() Bibtex:
@inproceedings{Akhloufi812, Dernière modification: 2010/02/21 par akhloufi |
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