搜索资源列表
Tracking
- 人脸识别代码 脸部特征提取 人脸追踪 返回人脸视频(Face tracking facial features face recognition code)
Face3DViewer40_Demo
- 人脸识别的例子用于面部识别开发,用较为简单的例子实现,用于二次开发!(face regnize example and some security check)
detectFaceParts
- 能够识别出脸部,眼睛,鼻子,嘴巴等部位,效果很好,运行demo.m可以测试(Able to identify the face, eyes, nose, mouth and other parts, the effect is very good, run demo.m can test)
FaceBasics-D2D
- 利用Kinect2 获取人脸部点云数据,学习人脸识别的可以看看,挺好用(Using Kinect2 to obtain human face point cloud data, learning face recognition can look at, very good use)
Human-Face-Detection.zip
- 人脸识别,是基于人的脸部特征信息进行身份识别的一种生物识别技术。用摄像机或摄像头采集含有人脸的图像或视频流,并自动在图像中检测和跟踪人脸,进而对检测到的人脸进行脸部的一系列相关技术,通常也叫做人像识别、面部识别。(Face recognition is a biometric technology based on human facial feature information for identification. A camera or camera is used to collect
Android face
- 人物脸部识别技术在安卓手机的程序应用示例,仅供参考(The application example of the personage face recognition technology in the Android mobile phone is only for reference)
face_segment
- 封装好的函数,输入一个待分割的人脸图像, 输出为分割之后的人脸图像 具体步骤: 1)进行人脸检测,得到脸部区域的框框 2)得到脸部图像框的中心点 3)根据中心点,对图像进行等比例外扩,得到合适大小的人脸图像 4)输出该部分人脸图像 随程序附带测试用例(The encapsulated function, input a face image to be divided, and output the face image after the segmentation Specifi
sample
- 脸部识别的盲源分离方法 Orl 库 分离效果很好(Blind source separation method for face recognition)
Graduation thesis
- 主要功能为脸部识别,有相关分类器标记特征点之间的距离(The main function is face recognition, and the distance between feature points with related classifier marks.)
Facial detector
- 人脸识别系统 通过matlab自带分类器和降噪功能对图片人脸的五官和人脸进行勾勒(The face recognition system is based on Matlab's own classifier and noise reduction function to outline facial features and faces.)
shreyas00-Facial-Recognition-System-e94cae4
- 完整MATLAB程序语言,可以识别人的脸部,并将脸部轮廓框出来(A person's face can be identified)
Identify_faces
- 使用Viola-Jones算法来检测人脸,鼻子,眼睛,嘴巴或上身,并框出。(Use the viola-jones algorithm to detect faces, noses, eyes, mouths or upper body and frame them)
人脸检测
- 可以检测定位人脸和人的眼睛位置,适用于美颜相机中聚焦脸部和定位脸部器官(It can detect and locate the position of face and human eyes. It is suitable for focusing face and locating facial organs in beauty cameras.)
MATLAB教室人数统计系统
- 该课题为基于MATLAB的教室人数统计,带有丰富的人机交互GUI界面。实现教室人数的计数统计,进而统计出勤率,上课认真听讲的比例。原先预设总人数,未出勤或者书本遮住脸部、趴着玩手机等必然无法采集到人脸,从而对应数量缺失,得出出勤率或听讲率。该课题采用肤色原理进行人脸定位和人脸分割。本课题中,为了界面GUI的美观,刻意将分割出的人脸单独显示在GUI对应的axes里。是个不错的设计选题。(This topic is based on MATLAB classroom statistics, with