The Local Binary Pattern Approach and its Applications to Face Analysis

Abstract

The local binary pattern (LBP) operator is defined as a gray-scale invariant texture measure, derived from a general definition of texture in a local neighborhood. Due to its discriminative power and computational simplicity, the LBP texture operator has become a popular approach in various applications, including visual inspection, image retrieval, remote sensing, biomedical image analysis, motion analysis, environment modelling, and outdoor scene analysis. Recent developments showed that the local binary pattern texture method also provides outstanding results in representing and analyzing faces in both still images and video sequences. This paper describes the tutorial that will be lectured at The International Workshops on Image Processing Theory, Tools and Applications (IPTA'08) and presents an overview of applying LBP approach to various face analysis related tasks, including eye detection, face recognition, face detection, facial expression recognition, visual-speech recognition and gender classification.