A new R&#233;nyi entropy-based local image descriptor for object recognition

S. Gabarda; G. Cristóbal; P. Rodríguez; C. Miravet; J. M. del Cura

doi:10.1117/12.854901

5 May 2010 A new Rényi entropy-based local image descriptor for object recognition

S. Gabarda, G. Cristóbal, P. Rodríguez, C. Miravet, J. M. del Cura

Proceedings Volume 7723, Optics, Photonics, and Digital Technologies for Multimedia Applications; 772312 (2010) https://doi.org/10.1117/12.854901
Event: SPIE Photonics Europe, 2010, Brussels, Belgium

Abstract

This paper shows how local directional entropy can be used as a tool to build up a robust local image descriptor for image feature extraction. Among other possible choices, the Rényi entropy has been selected as the main technique for this application. Local directional entropy which is related with the anisotropy images has been considered here as the basis for the design of a new Rényi entropy-based local image descriptor (RELID). The properties of this new descriptor are described and evaluated. The experimental results confirm that the new descriptor is endowed by most of the invariant properties desired for object recognition applications.

Citation Download Citation

S. Gabarda, G. Cristóbal, P. Rodríguez, C. Miravet, and J. M. del Cura "A new Rényi entropy-based local image descriptor for object recognition", Proc. SPIE 7723, Optics, Photonics, and Digital Technologies for Multimedia Applications, 772312 (5 May 2010); https://doi.org/10.1117/12.854901

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