Image analysis with local binary patterns

Authors:
Matti Pietikäinen
Affiliations:
Machine Vision Group, Infotech Oulu and Department of Electrical and Information Engineering, University of Oulu, Finland
Venue:
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Year:
2005

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Abstract

The local binary pattern approach has evolved to represent a significant breakthrough in texture analysis, outperforming earlier methods in many applications. Perhaps the most important property of the LBP operator in real-world applications is its tolerance against illumination changes. Another equally important is its computational simplicity, which makes it possible to analyze images in challenging real-time settings. Recently, we have begun to study image analysis tasks which have not been generally considered texture analysis problems. Our excellent results suggest that that texture and the ideas behind the LBP methodology could have a much wider role in image analysis and computer vision than was thought before.