关键词: 人脸特征定位, 主动表观模型, 局部纹理模型, 初始形状参数最优化, 匹配模板升级

Abstract: The precise localization of face feature points is always an important research contents in face image processing, the accuracy of the face feature localization has a directly affect of the result of the follow-up work. In order to achieve a high-precision of the face feature localization, the local texture models is introduced to optimize the initial parameter of Active Appearance Models（AAM） and the upgrade of the matching template of AAM after the study of AAM-reversed algorithm. To optimize the initial parameter, the local appearance model　is combined with the global texture model of AAM, the matching template of AAM is updated to make sure that it’s closer to the real-time image. With the more precise template and the optimized parameter, the precise localization of face feature will be improved. It has been improved that algorithm has a better accuracy than the traditional AAM-reversed algorithm and the Progressive AAM（PAAM） algorithm through the theory and experimental.

Key words: face feature localization, Active Appearance Models（AAM）, local texture model, initial-shape parameter optimization, update the matching template