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Conference Papers Year : 2010

Robust matching in an uncertain world


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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inria-00474083 , version 1 (20-09-2010)



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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