搜索资源列表
detectdriverfatigue
- 通过人眼图像来检测驾驶员疲劳驾驶是目前的主流方向,面部及眼睛定位是其中关键的环节。针对驾驶员疲 劳检测系统,结合图像处理和模式识别技术,提出一种基于人脸面部特征的人眼定位方法-Images by the human eye to detect driver fatigue is the main driving direction, face and eye location is the key link. For driver fatigue detection system that
DetectionFace
- 人脸区域检测、眼睛的检测与定位、人嘴的检测与定位、人脸的勾勒四个处理模块源码,目前只能对给定的图片face.bmp进行处理。-Face region detection, eye detection and localization of human detection and localization of the mouth, face the outline of the four processing modules source code, currently only for a g
eye_face_detect
- 人眼定位和人脸检测算法，适合研究人脸识别技术的人,matlab实现-eye localization and face detection for begginners
test1
- 利用OSTL原理实现人脸上人眼的定位算法，并画出人眼的位置区域-The OSTL principle people face human eye localization algorithm, and the mapping of the human eye location area
hough
- 基于霍夫变换的人眼虹膜定位matlab源程序，优化好，执行速度较快。-Of the human eye iris localization based on hough transform matlab source, good optimization, faster.
aam-matlab
- ASM算法 MATLAB源代码 人脸特征点定位的目的是在人脸检测的基础上，进一步确定脸部特征点（眼睛、眉毛、鼻子、嘴巴、脸部外轮廓）的位置。定位算法的基本思路是：人脸的纹理特征和各个特征点之间的位置约束结合。-The purpose of the facial feature point positioning is to further determine the position of the facial feature points (eye, eyebrows, nose, mou