Comparison of affine-invariant local detectors and descriptors

Krystian Mikolajczyk 1 Cordelia Schmid 1, *
* Auteur correspondant
1 LEAR - Learning and recognition in vision
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : In this paper we summarize recent progress on local photometric invariants. The photometric invariants can be used to find correspondences in the presence of significant viewpoint changes. We evaluate the performance of region detectors and descriptors. We compare several methods for detecting affine regions [4, 9, 11, 18, 17]. We evaluate the repeatability of the detected regions, the accuracy of the detectors and the invariance to geometric as well as photometric image transformations. Furthermore, we compare several local descriptors [3, 5, 8, 14, 19]. The local descriptors are evaluated in terms of two properties: robustness and distinctiveness. The evaluation is carried out for different image transformations and scene types. We observe that the ranking of the detectors and descriptors remains the same regardless the scene type or image transformation.
Type de document :
Communication dans un congrès
12th European Signal Processing Conference (EUSIPCO '04), Sep 2004, Vienna, Austria. pp.1729--1732, 2004
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https://hal.inria.fr/inria-00548538
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Soumis le : lundi 20 décembre 2010 - 09:09:30
Dernière modification le : jeudi 11 janvier 2018 - 06:20:04

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  • HAL Id : inria-00548538, version 1

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Krystian Mikolajczyk, Cordelia Schmid. Comparison of affine-invariant local detectors and descriptors. 12th European Signal Processing Conference (EUSIPCO '04), Sep 2004, Vienna, Austria. pp.1729--1732, 2004. 〈inria-00548538〉

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