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Book Sections Year : 2012

A Local Adaptation of the Histogram Radon Transform Descriptor: An Application to a Shoe Print Dataset

Abstract

In this paper we propose a shape recognition approach applied to a dataset composed of 512 shoeprints where shapes are strongly occluded. We provide a local adaptation of the HRT (Histogram Radon Transform) descriptor. A shoeprint is decomposed into its connect components and describes locally by the local HRT. Then, following this description, we find the best local matching between the connected components and the similarity between two images is defined as mean of local similarity measures.

Dates and versions

hal-00764901 , version 1 (13-12-2012)

Identifiers

Cite

Makoto Hasegawa, Salvatore Tabbone. A Local Adaptation of the Histogram Radon Transform Descriptor: An Application to a Shoe Print Dataset. Georgy Gimel'farb. Structural, Syntactic, and Statistical Pattern Recognition: Lecture Notes in Computer Science, 7626, Springer, pp.675-683, 2012, Lecture Notes in Computer Science, 978-3-642-34165-6. ⟨10.1007/978-3-642-34166-3_74⟩. ⟨hal-00764901⟩
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