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Evaluation of Interest Point Detectors

Cordelia Schmid 1 Roger Mohr 1 Christian Bauckhage 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 : Many different low-level feature detectors exist and it is widely agreed that the evaluation of detectors is important. In this paper we introduce two evaluation criteria for interest points' repeatability rate and information content. Repeatability rate evaluates the geometric stability under different transformations. Information content measures the distinctiveness of features. Different interest point detectors are compared using these two criteria. We determine which detector gives the best results and show that it satisfies the criteria well.
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Cordelia Schmid, Roger Mohr, Christian Bauckhage. Evaluation of Interest Point Detectors. International Journal of Computer Vision, 2000, 37 (2), pp.151--172. ⟨10.1023/A:1008199403446⟩. ⟨inria-00548302⟩



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