Description: 手势识别程序源代码，通过摄像头获取手势，可以控制音乐-gesture recognition program source code, camera access through gestures and music can be controlled Platform: |
Size: 39936 |
Author:权威 |
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Description: 本代码实现的是人体手势的实时识别。可以分析处理人的手势。是用visual c++开发。-the implementation of the code of human gesture recognition in real-time. Analysis can deal with the gestures. C is visual development. Platform: |
Size: 4781056 |
Author: |
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Description: 一个很好的手势识别程序，能够根据摄像头拍摄的手势姿态播放音乐，有兴趣的可以加以改善，作出符合自己需要的程序。-a good gesture recognition procedures, according to the camera shooting gestures posture broadcast music, Interested can be improved, they need to make the procedures. Platform: |
Size: 21504 |
Author:李海超 |
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Description: 利用opencv实现的一个手势识别算法，识别效果很好！-Opencv realize the use of a gesture recognition algorithm to identify good effect! Platform: |
Size: 1313792 |
Author:zhanglinfeng |
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Description: 英文类手写输入
用as3实现的。何以识别0-9,A-Z这些字。用鼠标在书写区写出文字，程序就能识别得到。-English handwriting input using AS3 Class achievable. Why the identification of 0-9, AZ these words. With the mouse to write text in the writing area, the program will be able to receive recognition. Platform: |
Size: 116736 |
Author: |
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Description: This is the mouse movement recognition, and can be used as gesture recognition in touch panel. The source code was complied under ubuntu 8.10 Platform: |
Size: 78848 |
Author:缪炜 |
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Description: 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 hand inversion region, and then use pattern recognition methods get recognition. Absolutely original, since this may no longer engage in, and pass up sharing with you Platform: |
Size: 7002112 |
Author:yang |
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Description: 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 method used to obtain the recognition results Platform: |
Size: 82944 |
Author:thinsc |
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Description: :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 se tof na turalan de ficientge stures
for editing sketch are designed, and a robust method based on BP neural network is presented to handle gesture recognition in this
essay. The result of experiments proves the proposed method to be a good recognition performance. Platform: |
Size: 329728 |
Author:Decheng Yu |
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Description: 提出丁一种在距离空间内采用Euclidean距离计算的手势识别算法。手势图像经过连缘检羽后，时边缘图像卖施Euclidean
距离变换(ElYr)。在距离变换空间^计算距离映射图与样本之间的Euclidean距离。罩后，时基于单目税觉的30十手
指语牟母手势进行识刺．最好识剐率达93．33％。-Abstract：A Hand C,estme re曲印id叩aI孚嘶tll皿is presented， which based ofl Euclidean distance， computed in the spa∞of Euclidean．
After the edge examing，Euclidean Distance Transform(E册)is implemented，eldeulates the i1『-inimum Euclidean distance between
the images．Finally，the recognition of 30 letter gestures is performed by computing distance．11le best reeo管fifion rate of
93．33％is achieved． Platform: |
Size: 244736 |
Author:Decheng Yu |
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Description: 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 gesture recognition is proposed，which combines orientation histogram vector(OHV)
and neural net(NN)．Its high light is that OHV is selected as the feature vector of gestures，which is robust to illumination and
translation and these two problems are very important in gesture recognition．In the training stage，a database of feature vectors is set
up；In the recognition stage，a three layer BP neural net is selected tO classify gestures and the recognition rate is above 90％．The
recognition of gestures after turning some angle is also discussed in this paper，the result is satisfying． Platform: |
Size: 442368 |
Author:Decheng Yu |
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Description: 出并设计了基于计算机视觉的手势识别系统。采用双肤色模型和背景自适应模型进行手势分割，解决纷乱背景
下实时手势分割问题。以傅里叶描述于表缸E手势轮廓，基于BP网络建立的手势识别分类器，具有较强的自学习能力，提高了
识别率。-A hand gesture recogll主ti。n system which based on∞mputer vision is Prescn}ed in thi3 pape。A method
of combinirlg double c010r-spatial model arld background—adaptive model is used for gesture segrllentation to solve
the problem of dynaf试c gesture se鲫entati。n under intficate backgrourld Fourier descriptors of feature of gesture
edge is extracted．Cla商fier of gesture recognition based on BP netw。rk hs higher self．1eaming abilit斗The recog一
工lition rate is impmved Platform: |
Size: 301056 |
Author:Decheng Yu |
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Description: 本实验中对手势识别的方法进行研究。采用的主要方法是基于BP神经网络的静态手势识别。
包含实验结果和实验报告。-In this study, the method of gesture recognition research. The main method is based on BP neural network static gesture recognition. Contains experimental results and test reports. Platform: |
Size: 11831296 |
Author:kelven |
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