关键词: 人脸特征点定位, 多分辨率主动表观模型, 反向组合算法, 双重拟合, 点对点误差

Abstract: The original inverse compositional Active Appearance Model (AAM) only does one fitting process. When the initial position is far away from the destination, the model often falls into local minimum and becomes hard to converge into the correct position. Against this problem, a dual fitting method using Multi-Resolution AAM (MR-AAM) was proposed. Firstly, the first time fitting was to locate the initial position of the face in the low-resolution AAM, and the second time fitting was to use inverse compositional algorithm in the high-resolution AAM. This method can find the exact initial position and achieve better result of facial feature point localization. The experimental results show that the proposed method performs better than traditional method in the fitting accuracy along with the real-time case.

Key words: facial feature point localization, Multi-Resolution Active Appearance Model (MR-AAM), inverse compositional algorithm, dual-fitting, point-to-point error