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Affine Invariant Shape Description Using the Triangular Kernel

Abstract : We present in this report a novel approach for shape description based on kernel principal component analysis (KPCA). The strength of this method resides in the affine and particularly scale invariance of KPCA when using a particular kernel referred to as the triangular kernel. Beside this affine invariance, the method provides an effective way to capture the non-linearities in the shape geometry. Experiments conducted on the SQUID database show this affine invariance and the good performances for shape matching and retrieval.
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https://hal.inria.fr/inria-00070692
Contributor : Rapport de Recherche Inria <>
Submitted on : Friday, May 19, 2006 - 9:13:30 PM
Last modification on : Friday, December 18, 2020 - 10:30:03 AM
Long-term archiving on: : Sunday, April 4, 2010 - 9:43:54 PM

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  • HAL Id : inria-00070692, version 1

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Hichem Sahbi. Affine Invariant Shape Description Using the Triangular Kernel. [Research Report] RR-5308, INRIA. 2004, pp.16. ⟨inria-00070692⟩

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