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.
Keywords :
face recognition; image classification; image retrieval; image sequences; image texture; Image Processing Theory Tools and Applications; LBP texture operator; biomedical image analysis; detection; environment modelling; eye detection; face analysis; face recognition; facial expression recognition; gender classification; gray-scale invariant texture measure; image retrieval; local binary pattern approach; local neighborhood texture; motion analysis; outdoor scene analysis; remote sensing; video sequences; visual inspection; visual-speech recognition; Biomedical computing; Biomedical measurements; Face detection; Face recognition; Gray-scale; Image analysis; Image recognition; Image texture analysis; Inspection; Pattern analysis;
