Image Analysis with Local Binary Patterns Export

@incollection{Pietikainen:2005:LBP:ImageAnalysis, 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.}, author = {Pietikainen, Matti}, citeulike-article-id = {1645829}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/11499145_13}, doi = {10.1007/11499145_13}, journal = {Image Analysis}, keywords = {binary, descriptor, lbp, local, matching, pattern}, pages = {115--118}, posted-at = {2007-09-11 23:34:21}, priority = {0}, title = {Image Analysis with Local Binary Patterns}, url = {10.1007/11499145_13}, year = {2005} }

TY - CHAP ID - Pietikainen:2005:LBP:ImageAnalysis L3 - citeulike-article-id:1645829 N2 - 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. JF - Image Analysis EP - 118 TI - Image Analysis with Local Binary Patterns SP - 115 KW - binary KW - descriptor KW - lbp KW - local KW - matching KW - pattern AU - Pietikainen, Matti PY - 2005/// UR - http://dx.doi.org/10.1007/11499145_13 ER -