资源列表
SupPlate
- 车牌识别系统软件的调用代码.单台计算机可实现卡口最多可支持2方向8车道,闯红灯最大可支持4方向16个车道，为纯视频触发方式，替代地感线圈等外部触发方式，为用户节约很大一部分的成本。本控件视频检测全天抓拍率大于95 ，车牌识别率超过98 ，识别准确率约90 -LPR SDK
CT_MATLAB_v0
- CT压缩跟踪算法，自带三个视频序列可供实验，跟踪效果不错-CT compression tracking algorithm, with three video sequences for experiment, the tracking effect is good
face
- 通过眼睛来匹配照片人像的相似度，可以查看下哇-Photo portrait by eye to match the similarity, you can view the next wow
InTech-Object_tracking
- e book for object recognition
Facial-expressions-review
- 这是我找到的一些关于表情识别方面的近几年的文章综述。从而可以了解近几年人脸表情识别的发展状况，其中包括国外的相关文章。很有帮助！-I found these articles about facial expressions review recently. And then we can know development about facial expression in domestic and foreign.
jTessBoxEditor-1.5-src
- jTessBoxEditor 1.5源码(jTessBoxEditor 1.5 source)
FaceEncrypt
- 此系统为动态检测人脸系统，在视频中实时检测人脸，特别在正面时，检测结果较好，使用的是opencv库，有兴趣的可以参考参考，可运行-AppWizard has created this FaceEncrypt application for you. This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point
FaceRec_part2
- 由于本人最近研究人脸识别，收集的一些名校的博士硕士论文，全部是08年到09年的，具有很大的参考价值，如需要图像处理模式识别类的材料，请联系shuqin87@163.com-Because I study of face recognition has recently collected a number of prestigious doctoral master' s thesis, all of 2008 to 2009, and has great reference value,
recognize
- 人脸识别软件是一款基于MFC的面部识别工具，可执行程序已附上，请各位多提宝贵意见！-Face recognition software is a MFC-based facial recognition tool, executable programs attached, please provide more valuable opinions!
AdaptiveBlindSignalAndImageProcessing
- 这是Andrzej Cichocki, (日本) Shun-ichi Amari编著，2005出版的《Adaptive Blind Signal and Image processing》一书的配套源程序代码，中文名《自适应盲信号与图象处理》！这是目前关于盲信号和图象的最系统最新版的图书。- This is Andrzej Cichocki, (Japan) Shun-ichi Amari arranges, 2,005 publications \"Adaptive Blind Signal
NumberRecognition
- 采用模板匹配法进行手写数字的识别，是手写识别的基本方法，是学习手写识别技术的基础-To recognize handwritten numbers using the template matching method is the basic method for handwriting recognition, handwriting recognition technology is the basis of learning
AFR
- A system that takes CAD drawings as input and apply automatic feature recognition methods on them to identify different features present in them. The feature will then populate in a tree in the system s UI (and selecting them highlight them in the pa