Multi-scale Color Local Binary Patterns for Visual Object Classes Recognition

The Local Binary Pattern (LBP) operator is a computationally efficient yet powerful feature for analyzing local texture structures. While the LBP operator has been successfully applied to tasks as diverse as texture classification, texture segmentation, face recognition and facial expression recogni...

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Bibliographic Details
Published in2010 20th International Conference on Pattern Recognition pp. 3065 - 3068
Main Authors Chao Zhu, Bichot, Charles-Edmond, Liming Chen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2010
Subjects
Face recognition
Feature extraction
Image color analysis
Lighting
local binary patterns
object recognition
PASCAL VOC challenge
Pixel
Visualization
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ISBN1424475422
9781424475421
ISSN1051-4651
DOI10.1109/ICPR.2010.751

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Summary:The Local Binary Pattern (LBP) operator is a computationally efficient yet powerful feature for analyzing local texture structures. While the LBP operator has been successfully applied to tasks as diverse as texture classification, texture segmentation, face recognition and facial expression recognition, etc., it has been rarely used in the domain of Visual Object Classes (VOC) recognition mainly due to its deficiency of power for dealing with various changes in lighting and viewing conditions in real-world scenes. In this paper, we propose six novel multi-scale color LBP operators in order to increase photometric invariance property and discriminative power of the original LBP operator. The experimental results on the PASCAL VOC 2007 image benchmark show significant accuracy improvement by the proposed operators as compared with both the original LBP and other popular texture descriptors such as Gabor filter.
ISBN:1424475422
9781424475421
ISSN:1051-4651
DOI:10.1109/ICPR.2010.751