资源列表
liuxingxuexililunyurenlianshibie
- 建立在流形上的算法研究及人脸识别的博士论文，具有极高的参考价值。-Built on the manifold and the face recognition algorithm on a doctoral thesis, has a very high reference value.
gg
- 车牌识别（预处理，灰度变换，定位，分割识别）-face receognition
License-Plate-Recognition
- 利用MATLAB进行图像处理、识别。实现对车牌的识别。提供了图片和编写好的一个.m函数。-Image processing and recognition using MATLAB. To achieve the identification of the license plate. Provide a picture and write a good .m function.
moshishibiekejian
- 里面含有丰富的模式识别相关知识，入门和深入都很有好处，985大学的标准课件-Which is rich in pattern recognition, knowledge, very good entry and in-depth, 985 University of standard courseware
kfan_051201
- 用c++编写的基于part based的人脸识别，请在unix下运行，windows下可能会报错。-Written using c++-based part based face recognition, to run in unix, windows may be an error.
FornaciariPrati
- 论文描述了如何在移动设备上实现快速椭圆识别-Article describes how to quickly identify ellipse on a mobile device
VideoProcess
- 关于视频的课件，内容全面，包括：视频的各种编码，目标检测，目标运动估计，目标跟踪，视频建模等。-On the video courseware, comprehensive, including: a variety of video encoding, target detection, target motion estimation, target tracking, video modeling.
BP_tuxiangyasuo
- BP神经网络的图片压缩，注释很清楚，附有测试lena图片，压缩比例已经注释了，很好用-BP neural network image compression, the notes are very clear, with the test Lena images, the compression ratio has been annotated, very easy to use!!
PCA-and-SVM-Face-recognition
- 采用PCA对人脸特征进行抽取，用SVM多累分类器对人脸进行识别，有操作界面-Using PCA for facial feature extraction, and more tired with the SVM classifier for face identification, a user interface
CNN-facelable
- 用CNN实现人脸标注,是适用于人脸识别及人脸检测-using CNN for Facelable，for face recognition or face detection.
license_plate_recognition
- 十篇国外有关车牌识别的经典文章,对做车牌识别的人很有应用-there are ten papers about licence plate recognition from abroad, useful for the peophe who do research on license plate recognition
on-linehandwrittencharacterrecognition
- 这是一个联机手写的字符识别程序，里面有两个程序，希望大家通过这两个程序能对你们的学习起到大的帮助-This is an on-line handwritten character recognition program, there are two procedures, hope that through these two programs you can play a big help in learning