搜索资源列表
face-recognition
- 人脸识别，可以通过不同的算法提取人脸的不同部位，眼睛，鼻子，嘴巴等等！-Face recognition, can be extracted by different algorithms in different parts of the face, eyes, nose, mouth, and so on!
tzimiro_ICCV2013_code
- 用AAM算法进行人脸特征点的标定，即对人脸的眼睛，眉毛，嘴巴，鼻子及脸的轮廓进行标记，此代码标记了68个特征点-For face feature point calibration with AAM algorithm, namely the human face of the eyes, eyebrows, mouth, nose and face contour mark, this code marking the 68 feature points
Haar
- 用python语言实现的基于Harr特征的人脸检测算法，可以用于人脸的检测，眼睛，鼻子等脸部五官的检测-Using python language based on the Harr feature-based face detection algorithm can be used for the detection of face, eyes, nose and other facial features detection
Substantially-face
- 人脸定位算法给出的大致 人脸框架中,估计鼻子的初始位置,然后定义两个初始搜索矩形,分别向左右两 眼所处的大致-Substantially face frame face localization algorithm is given, the estimated initial position of the nose, and then define two rectangles initial search, to the left and right eyes, respectively,
haarcascades
- 基于OpenCV harr级联分类器的人脸及眼睛、鼻子、嘴巴(Opencv_haar classifier)