Invariant image descriptors and affine morphological scale-space

Frédéric Sur 1
1 MAGRIT - Visual Augmentation of Complex Environments
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this research report we propose a novel approach to build interest points and descriptors which are invariant to a subclass of affine transformations. Scale and rotation invariant interest points are usually obtained via the linear scale-space representation, and it has been shown that affine invariance can be achieved by warping the smoothing kernel to match the local image structure. Our approach is instead based on the so-called Affine Morphological Scale-Space, a non-linear filtering which has been proved to be the natural equivalent of the classic linear scale-space when affine invariance is required. Simple local image descriptors are then derived from the extracted interest points. We demonstrate the proposed approach by robust matching experiments.
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Rapport
[Research Report] RR-6250, INRIA. 2007, pp.20
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Soumis le : lundi 30 juillet 2007 - 13:41:39
Dernière modification le : jeudi 11 janvier 2018 - 06:20:14
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Frédéric Sur. Invariant image descriptors and affine morphological scale-space. [Research Report] RR-6250, INRIA. 2007, pp.20. 〈inria-00164802v2〉

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