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Robust matching in an uncertain world
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.
Cited literature [17 references]
https://hal.inria.fr/inria-00474083
Contributor : Frédéric Sur Connect in order to contact the contributor
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
Contributor : Frédéric Sur Connect in order to contact the contributor
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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PID1291587.pdf
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