Tracking facial features with occlusions

查看全文 作　　者：MARKIN [1]Evgeny;PRAKASH Edmond [1]C.

机构地区：[1]School of Computer Engineering, Nanyang Technological University, Singapore

出　　处：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》索引2006年第7卷第7期,共7页

摘　　要：Facial expression recognition consists of determining what kind of emotional content is presented in a human face. The problem presents a complex area for exploration, since it encompasses face acquisition, facial feature tracking, facial ex- pression classification. Facial feature tracking is of the most interest. Active Appearance Model (AAM) enables accurate tracking of facial features in real-time, but lacks occlusions and self-occlusions. In this paper we propose a solution to improve the accuracy of fitting technique. The idea is to include occluded images into AAM training data. We demonstrate the results by running ex- periments using gradient descent algorithm for fitting the AAM. Our experiments show that using fitting algorithm with occluded training data improves the fitting quality of the algorithm. 关键词：AAM 面部特征跟踪计算机视觉情绪封闭

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Tracking facial features with occlusions

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