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Gabor-fdp5final
- 人脸检测的代码，很强大！ ！Face Detection System基于Gabor特征提取和人工智能的人脸检测系统源代码fdp5final-Face detection code, it is powerful! ! Face Detection System Based on Gabor feature extraction and artificial intelligence face detection system source code fdp5final
ZAZ-020-2010-10-06
- 指纹锁使用手册-ZAZ-020-2010-10-06，指纹开锁及电容指纹系统-Fingerprint lock using manual- ZAZ- 020-2010-10-06, fingerprint lock and capacitor fingerprint system
SPIJ-59
- 一篇介绍人脸识别的文章，是2010年最新出的，有助于研究生做人脸识别方向的学生-An article on face recognition of the article is the latest out in 2010 to help the direction of graduate students to do face recognition
OCR_CSharp
- 基于VISUAL STUDIO 2010 的OCR图像识别软件，编程语言为C#-VISUAL STUDIO 2010 based on the OCR image recognition software, programming language to C#
Ar-et-al.---2010
- mimik tanima algoritmasi
facial-expression-recognitionl
- 实时 2D + 3D 面部动作和表情识别，国外的文章，2010的-This paper presents a completely automated facial action and facial expression recognition system using 2D+3D images recorded in real-time by a structured light sensor.
Fusion-2dPCALDA-(2010)
- This paper proposes an efficient face representation and recognition method, which combines the both information between rows and those between columns from two-directional 2DPCA on fusion face image and the optimal discriminative information from
AGAST-corner-detector
- 多尺度快速角点检测算法（FAST).Adaptive and generic corner detection based on the accelerated segment test. Computer Vision–ECCV 2010-Multi-scale fast corner detection algorithm (FAST) Adaptive and generic corner detection based on the accelerated segment test
online-letter-recognizing
- 基于vs2010的在线字符识别程序，该程序有字符识别和训练两种模式.在识别模式下可以用鼠标在窗口‘Win’写下字符，识别结果会呈现在窗口‘Win2’；在训练模式下当你写下大写字母程序将把数据写入data.txt。按下按键‘m’可以在两种模式间切换-The letter online handwriting recognize based on vs 2010 there are two state<recognizing and training> for the app. In
ImageSearch
- 基于VC++2010的图像检索,内附30多幅的小型图像数据库-Image Retrieval
kinect_virtools_dll
- 用C++语言借助Openni开发了基于Kinect的插件，通过该插件在virtools环境中读取Kinect数据，进行手势识别和跟踪。-A plug-in is specially designed and developed for Kinect devices .The plug-in takes advantage of Kinect API and Virtools SDK and is implemented with C++2010.Net as its developing too
Character_Recognition
- 本程序主要参照论文，《基于OpenCV的脱机手写字符识别技术》实现了，对于手写阿拉伯数字的识别工作。识别工作分为三大步骤：预处理，特征提取，分类识别。预处理过程主要找到图像的ROI部分子图像并进行大小的归一化处理，特征提取将图像转化为特征向量，分类识别采用k-近邻分类方法进行分类处理，最后根据分类结果完成识别工作。 程序采用Microsoft Visual Studio 2010与OpenCV2.4.4在Windows 7-64位旗舰版系统下开发完成。并在Windows xp-32位系统下测试