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Non-parametric Invariants and Application to Matching

Zhong-Dan Lan 1 Roger Mohr 1 
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : This report present a non parametric matching method based on non parametric invariants to geometry and intensity transforms of images. The use of invariant makes it possible to match images under large geometric transforms. The use of non parametric measures makes it robust to partial occlusion. An algorithm to obtain sub-pixel precision is also shown. Results on real images validate the approach.
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Reports (Research report)
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Submitted on : Wednesday, May 24, 2006 - 12:49:32 PM
Last modification on : Wednesday, October 26, 2022 - 8:16:34 AM
Long-term archiving on: : Sunday, April 4, 2010 - 11:46:45 PM


  • HAL Id : inria-00073443, version 1



Zhong-Dan Lan, Roger Mohr. Non-parametric Invariants and Application to Matching. [Research Report] RR-3246, INRIA. 1997. ⟨inria-00073443⟩



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