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人脸识别系统设计—毕业设计
- 本课题的主要内容是图像预处理,它主要从摄像头中获取人脸图像然后进行处理,以便提高定位和识别的准确率.该模块主要包含光线补偿、图像灰度化、高斯平滑、均衡直方图、图像对比度增强，图像预处理模块在整个系统中起着极其关键的作用，图像处理的好坏直接影响着后面的定位和识别工作,内有源代码和全部论文资料-this issue is the major content of image preprocessing, mainly from the camera to obtain images Face the
fd-an-dreginition
- 人脸识别的可执行程序,插上摄像头即可测试程序效果,可实时测试出区域内人脸的数量和距离.不下载肯定会后悔一辈子.不要错过.-Recognition of the executable program, plug in the camera to test the program' s performance, real-time test a number of regional wife face and distance. Download will certainly regret i
FaceRecognition-tensorflow-master
- 可以通过摄像头识别是不是本人，主要使用的是opencv进行人脸识别，测试环境是tensorflow(You can recognize me through the camera)
pca-人脸识别
- 运用PCA算法，可以通过摄像头实时获取人脸，进行人脸识别。(By using PCA algorithm, we can get face in real time by camera and face recognition.)
face_recognition-master
- USB摄像头人脸检测与识别，实时分析，实时获取人脸部信息，python语言开发。(Face detection and recognition of USB camera and real-time analysis.)
深度学习mtcnn
- 用市面上的摄像头，可以实现实时人脸识别功能。(The algorithm model of facenet face recognition is obtained through deep learning, and the backbone network of feature extraction is concept-resnetv1, which is developed from concept network and RESNET, with more channels and n