搜索资源列表
人脸定位实例
- 利用相似度和肤色建模两种方法进行人脸定位，并定位出来人眼、嘴、鼻子利用VC++对话框编程，功能强大
FaceDec
- 这是一个人脸检测算法，包过眼睛定位，鼻子定位，效果还可以的-this is a face detection code ,the detection result is good~~
77433670Homework_191007
- 人脸的检测与定位算法源码，主用是采用人脸的灰度信息进行人脸的检测，并定位鼻子眼睛和嘴--Face detection and location algorithm source code, the main use is the human face of gray information Face Detection, positioning the nose and eyes and mouth
chap7
- 人脸检测，能够通过扫描图片采用一系列图像处理方法最后把鼻子、眼睛、嘴巴在面部上勾勒出来-Face detection, able to scan images using a series of image processing methods before bringing the nose, eyes, mouth on the face sketched out on the face
FaceDetection
- 在图形图像领域的一个应用，包括人脸的区域检测，标记眼睛嘴巴，鼻子的位置-In the area of a graphic image applications, including the face area detection, marking the eyes mouth, nose, location, etc.
Ren_lian
- 可对输入的图像的人脸进行定位，还可准确的定位到鼻子与眼睛-Can input face image to locate, but also accurately locate the nose and eyes
Ffacce-locatia
- 人脸定位与识别的Visual C++实例。提供了友好的操作界面。输入人脸图像后，，提供两种人脸区域的检测方法。然后在人脸区域中可自动标记眼睛、嘴巴、鼻子及边缘提取。 -Face location recognition Visual C++ of instances. Provides a friendly user interface. Input face image, two kinds of face region detection method. Then automatical
Efacezipx
- 人脸定位实例，边缘提取，标记记眼睛，标记嘴巴鼻子可直接使用。 -The face positioned instance, edge extraction, Mark Hutchison eyes, marked the mouth nose can be used directly.
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
detectFaceParts20140113
- 实现人脸定位 人眼定位 鼻子定位 嘴巴定位-face eye noise mouth detection
FaceDetectDlg
- 使用时需要输入一个bmp图片，采用高斯概率模型人脸的特征提取，眼睛鼻子嘴巴等-Need to enter using a bmp image using Gaussian probability model feature extraction face, nose, eyes, mouth, etc.
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)