搜索资源列表
facedect
- vc开发的人脸检测系统，可以对人脸及眼睛、嘴巴进行定位-vc development of face detection system, people can face and eyes and the mouth for positioning
第09章 人脸的检测与定位
- 人脸的检测与定位(在预处理部分，采用了特别的增强人脸特征与脸部皮肤之间对比度的方法及局域取阈值二值化方法，改进了预处理的效果。在图像分割部分，实现了经典的分合算法，并且使用成组算法改进了分合的效果。在人脸匹配部分，实现了基于眼睛和嘴的几何模型匹配，并对评价函数的构造进行了研究。)-Face Detection and Location (pretreatment, using a special facial features enhanced facial skin and the contr
人眼定位算法
- 对人脸进行定位标定眼、嘴和鼻。算法简单易行。效果非常好。VC＋＋6.0编写。运行环境：2000，xp-right positioning calibration eyes, mouth and nose. A simple algorithm. The effect was very good. VC + +6.0 prepared. Operating environment : 2000, xp
humanface_detection
- 通过识别眼睛和嘴把的位置来确定人脸在照片中的位置-by identifying the eyes and mouth put in place to determine the face of the photo location
face-location-example
- 人脸定位与识别的VC++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 recognition and positioning of VC examples. Provide a friendly interface. Face image input, provide two kinds of people in the region face detection method. Then people
renliandedingwei
- 本程序是一个检测人脸的程序，通过一定的方法，找出图中人脸区域，并标记出眼睛鼻子和嘴巴的位置。-this procedure is a human face detection procedure for the adoption of methods to identify human face regional map, Mark the eyes and nose and mouth position.
FaceDetectionFrame
- 一个基于知识的人脸检测系统，首先是提取肤色，然后在检测眼睛，嘴这些特征，进行验证是否是人脸，并标记位置-a knowledge-based Face Detection System, the first extraction of color, and then testing the eyes, mouth of these characteristics, verify whether he is a human face, and mark position
FacialFeature
- 面部特征定位，主要是眼睛、鼻子和嘴巴的特征定位。-positioning facial features, mainly the eyes, nose and mouth features positioning.
colorfacedetection
- 一个基于肤色的人脸检测系统，首先是提取肤色，然后在检测眼睛，嘴这些特征-a color-based Face Detection System, the first extraction of color, and then testing the eyes, mouth these characteristics
ensayook
- face, eyes, mouth detection with camera web...with opencv and c....Colombia mzls
face
- 人脸定位实例，边缘提取，标记眼睛，标记嘴巴鼻子-Human Face Localization examples, edge detection, marking the eyes, mouth and nose tag
dctannprotected
- High information redundancy and correlation in face images result in efficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of t
waveannprotected
- Wavelet transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally th
1
- 这是一篇关于图象中眼睛和嘴巴的检测与定位的文章-This is an image in the eyes and mouth on the detection and location of the article
feature_extraction_face_GE
- An automatic facial feature extraction method is presented in this paper. The method is based on the edge density distribution of the image. In the preprocessing stage a face is approximated to an ellipse, and genetic algorithm is applied
Facetracking
- Perfect matlab facetracker, detects eyes, mouth and face.
sdi_opencv
- 运用VC软件做的一个基于OPENCV的人脸识别系统，在检测人脸的基础上能对人眼和嘴巴进行识别。-Use the software to do a VC OPENCV based face recognition system, based on face detection can identify the eyes and mouth.
EyeMap_MouthMap
- Matlab平台下在人脸区域利用EyeMap和MoutMap算法检测眼睛-Matlab platform in the face region detection algorithm using EyeMap and MoutMap eyes
FaceDetection
- 使用C++进行人像检测，重点从嘴角、眼睛的方面进行检测-Using C++ Face Detection to detect focus from the mouth, eyes
FACE
- 人脸的检测与定位的程序实例，有界面，多方法，可以定位嘴巴眼睛头发。- Instance of face detection and location, interface, multi-method, you can locate the mouth eyes hair.