Active Appearance Models (AAMs) is an effective method of facial recognition and facial feature location, and has become a research hotspot in image processing areas.
主动外观模型是进行人脸面部特征定位和人脸识别的有效方法，近年来已成为图像处理等领域的研究热点。
Parameter ranges of the deformable templates are limited in the rectangle of feature location, and energy function minimum corresponds to the best position of facial feature.
在特征定位的矩形框内限定变形模板的参数范围，当能量函数达到最小值时对应变形模板匹配的最佳位置。
After upper facial action unit location and segmentation, we present the facial action unit feature extraction algorithm based on KPCA.
在定位分割出上半人脸运动单元子区域图像之后，提出了采用KPCA算法提取它们的特征。
Facial feature point location is one of the fundamental and crucial problems in the field of facial recognition, computer vision and graphics.
人脸面部的关键特征点定位既是人脸识别研究领域中的一个关键问题，也是计算机视觉和图形学领域的一个基本问题。
Facial feature point location is one of the fundamental and crucial problems in the field of facial recognition, computer vision and graphics.
人脸面部的关键特征点定位既是人脸识别研究领域中的一个关键问题，也是计算机视觉和图形学领域的一个基本问题。
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