Support Vector Machines in face recognition with occlusions

• Published in: 2009 IEEE Conference on Computer Vision and Pattern Recognition pp. 136 - 141
• Main Authors: Hongjun Jia, Martinez, Aleix M
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2009
• Subjects: Algorithm design and analysis; Brightness; Classification algorithms; Computer errors; Face recognition; Feature extraction; Pixel; Support vector machine classification; Support vector machines; Testing

Support vector machines (SVM) are one of the most useful techniques in classification problems. One clear example is face recognition. However, SVM cannot be applied when the feature vectors defining our samples have missing entries. This is clearly the case in face recognition when occlusions are p...