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Robust matching in an uncertain world

Frédéric Sur 1 
1 MAGRIT - Visual Augmentation of Complex Environments
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Finding point correspondences which are consistent with a geometric constraint is one of the cornerstones of many computer vision problems. This is a difficult task because of spurious measurements leading to ambiguously matched points and because of uncertainty in point location. In this article we address these problems and propose a new robust algorithm that explicitly takes account of location uncertainty. We propose applications to Sift matching and 3D data fusion.
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Submitted on : Monday, September 20, 2010 - 10:48:06 AM
Last modification on : Thursday, January 20, 2022 - 5:30:24 PM
Long-term archiving on: : Tuesday, December 21, 2010 - 2:29:04 AM


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Frédéric Sur. Robust matching in an uncertain world. 20th International Conference on Pattern Recognition - ICPR 2010, IAPR, Aug 2010, Istanbul, Turkey. pp.2350 - 2353, ⟨10.1109/ICPR.2010.575⟩. ⟨inria-00474083⟩



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