Description of interest regions with center-symmetric local binary patterns

Marko Heikkila 1 Matti Pietikainen 1 Cordelia Schmid 2, *
* Auteur correspondant
2 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 : Local feature detection and description have gained a lot ofinterest in recent years since photometric descriptors computed for interest regions have proven to be very successful in many applications. In this paper, we propose a novel interest region descriptor which combines the strengths of the well-known SIFT descriptor and the LBP texture operator. It is called the center-symmetric local binary pattern (CS-LBP) descriptor. This new descriptor has several advantages such as tolerance to illumination changes, robustness on flat image areas, and computational efficiency. We evaluate our descriptor using a recently presented test protocol. Experimental results show that the CS-LBP descriptor outperforms the SIFT descriptor for most of the test cases, especially for images with severe illumination variations.
Type de document :
Communication dans un congrès
Prem Kalra and Shmuel Peleg. 5th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP '06), Dec 2006, Madurai, India. Springer-Verlag, 4338, pp.58--69, 2006, Lecture Notes in Computer Science (LNCS). 〈http://www.springerlink.com/content/q6m4t21086514174/〉. 〈10.1007/11949619_6〉
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Soumis le : lundi 20 décembre 2010 - 09:49:27
Dernière modification le : jeudi 11 janvier 2018 - 06:20:04

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Marko Heikkila, Matti Pietikainen, Cordelia Schmid. Description of interest regions with center-symmetric local binary patterns. Prem Kalra and Shmuel Peleg. 5th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP '06), Dec 2006, Madurai, India. Springer-Verlag, 4338, pp.58--69, 2006, Lecture Notes in Computer Science (LNCS). 〈http://www.springerlink.com/content/q6m4t21086514174/〉. 〈10.1007/11949619_6〉. 〈inria-00548586〉

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