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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 a registration between two sets of corresponding 2D or 3D points is one of the keystones of many computer vision tasks. This is difficult since some points may not have correspondences at all, and points are often spoilt by noisy measurements. In this report we propose new robust algorithms, namely an adaptation of Msac algorithm and a new a contrario model. Both of them are based on statistics over the Mahalanobis distance and explicitly take account of location uncertainty. We outline applications to SIFT keypoint matching and 3D data fusion.
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Submitted on : Wednesday, September 8, 2010 - 1:51:26 PM
Last modification on : Wednesday, October 26, 2022 - 8:16:23 AM
Long-term archiving on: : Tuesday, October 23, 2012 - 3:45:33 PM


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  • HAL Id : inria-00515974, version 1



Frédéric Sur. Robust matching in an uncertain world. [Research Report] RR-7374, INRIA. 2010, pp.28. ⟨inria-00515974⟩



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