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Gesture
- 自己用opencv写的手势识别的软件。界面简单点，用动态前景分割肤色模型和直方图反演分割手部区域，然后用模式识别方法搞定识别问题。绝对原创，以后可能再也不搞这方面了，传上来跟大家分享-Own use opencv gesture recognition software to write. Interface simply, skin color model with dynamic foreground segmentation and histogram segmentation of ha
yalefaces
- 这是用于人脸识别的经典人脸库，人脸识别的实验和验证都是在这些基础库上完成的，它是yale人脸库，包含不同人脸的各种姿态，对做实验极为有用-This is a classic for Face Recognition Face database, face recognition and verification experiments are those at the finish on the basis of the Treasury, it is yale face database th
HandDetect
- 人手检测根据肤色模型检测人的手所在位置。并根据模板判断手势。-Detection of manpower under the color model to detect the location of the hand. And in accordance with the template to determine gesture.
AnyHand
- 一个静态手势识别库，里面有详细的文档，识别效果参看http://v.youku.com/v_show/id_XODY4NTg1MTY=.html http://v.youku.com/v_show/id_XODY4NTg2NTY=.html-A static gesture recognition library, which documents in detail to identify the effect of http://v.youku.com/v_show/id_XODY4NTg
openni_opencv_hand
- 用于kinect 的手势识别程序。一个不错的例子，易于上手-this source code is based on the IR camera kinect, and also hand gesture reconiztion theory is applied .
hand-gesture
- 该程序可以实现对于手势的跟踪和手的张开和闭合的识别以及在手张开的时候的上,下,左,右4个移动方向的识别,在单纯背景下的效果比较好.-The program can be achieved for the hand gesture tracking and identification of open and closed and open hand, when the up, down, left and right identify the direction of movement 4, i
handbingfeng
- 超强手势识别程序，可识别手势，和手势的方向，还可以自己制作新的手势命令。需要摄像头，此源码可立即编译运行，-Super gesture recognition program can recognize gestures, and gestures of direction, can also produce their own new gesture command. Need camera, this source can now compile and run
Gesture
- Windows下的手势识别代码,通过摄像头摄取图像，对计算机发出对应的指令-This code is working for Gesture Recognizing
Gesture
- visual C++ 程序编写的利用图像识别的手势识别-visual C++ programmers use image recognition gesture recognition
handdetection
- 通过单目摄像头实现手势跟踪并且可以识别四种手势实现智能控制，需要OPENCV0.97以上版本。-Achieved by single camera head and hand tracking can identify four gesture intelligent control, you need to OPENCV0.97 above.
shp_triesch_protocol.tar
- 基于复杂背景的人体手势识别，以及在噪声干扰下的抗干扰性测试-Based on complex background of human gesture recognition, as well as noise immunity under the test
mffmSilhouette
- hand gesture detection
Gesture
- Gesture多点识别技术的实现，很好用的哈！-Gesture recognition technology to achieve more, a good use of the Ha!
A-Gesture-Recognition-System
- 基于3D数据的手势识别系统 深度信息 实时检测-Gesture recognition based on 3D data system
Gesture-Recognition-Based-on-openCV
- 基于openCV的手势识别,用肤色的有效提取, 再经过阈值化, 和形态学变换, 得到手的轮廓, 最后采用轮廓匹配的方法, 得到识别结果-OpenCV based gesture recognition, effective use of color extraction, and then after a threshold, and morphological transformation, contours of the hand, the final contour matching me
Gesture-Recognition
- :针对概念设计以及工程草图设计过程中，用户的草绘编样修改行为进行了初步研究，目的在于能够设计出一 套符合用户设计习惯的编裤手势.然后尝试采用基于BP神经网络的方法对其进行识别，以实现计算机对草绘设计行为 的准确理解以及草图的快速编辉修改.实验结果表明，提出的方法具有较高的识别效果，加快了概念草图的设计过程.-In o rderto a ccelerateth ep rocessof sk etche ditingin th est ageo fco nceptualde sign,a s
Gesture-Recognition-
- 本文提出一种用于手势识别的新方法，它将图像的方向直方图矢量(0Hv)与神经网络相结合。其特点在于选用 图像的方向直方图矢量作为手势的特征矢量，该特征矢量对于光线和手的平移变化具有较强的鲁棒性，这正是手势识别所要 解决的关键问题。在训练阶段，首先需要建立手势样本的特征矢量库；在识别阶段，本文选用三层BP网络作为分类器，获得 了90％以上的识别率。本文还对手势进行一定角度的旋转后的识别进行了讨论，识别结果达到预期要求。-In this paper，a new method of gest
gesture-recognition
- 基于kinect获取深度图像来进行手势识别-Based on depth images for kinect for gesture recognition
gesture-master
- 识别简单的手势,如挥手动作，手指数目等等。(identify sample gesture)
Hand Gesture Segmentation
- 使用kinect进行手势识别，并进行了手势分割等操作。最后高亮处理，便于察觉(Gesture recognition using Kinect, and gesture segmentation and other operations. Finally highlight, easy to detec)