搜索资源列表
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HMM用于人脸识别，从OPENCV里提取出来的,非常经典的说-HMM for face recognition, OPENCV extract from the very classical said
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采用OpenCV进行人脸识别，隐马尔科夫链的应用，由混合分量来分割HMM的每个内在状态的所有观测值，运用现有的图像观测值分割为所有嵌入和内部的HMM函数，计算可能的变换矩阵-Using OpenCV for face recognition, hidden Markov chain applications, from the mixed components to split the internal state of each HMM all observations, use of the
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face recognition with opencv
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图像处理与模式识别中的识别算法，刚才传了特征提取，这是后续-Image processing and pattern recognition in the recognition algorithm, just pass the feature extraction, which is the follow-up
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二维线性鉴别分析(2DLDA)算法能有效解决线性鉴别分析(LDA)算法的“小样本”效应，支持向量机
(SVM)具有结构风险最小化的特点，将两者结合起来用于人脸识别。首先，利用小波变换获取人脸图像的低频分量，忽
略高频分量：然后，用2DLDA算法提取人脸图像低频分量的线性鉴别特征，用“一对多”的SVM 多类分类算法完成人脸
识别。基于ORL人脸数据库和Yale人脸数据库的实验结果验证了2DLDA+SVM算法应用于人脸识别的有效性。-”Small sample size”problem
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本程序在MATLAB中调用了OpenCV的AdaBoost检测器实现了人脸检测，还可用来学习MATLAB中调用C/C++代码的方法，研究人脸识别和希望熟悉MATLAB的同志们不妨试一试。-This procedure is called in MATLAB, OpenCV the AdaBoost detector implemented face detection, can also be used to learn MATLAB to call C/C++ code used to stu
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基于openCV的手势识别。用于KINECT的简单手势识别。-OpenCV-based gesture recognition
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vc6.0环境下，使用opencv,基于adaboost算法的人脸检测识别程序，可以对视频流进行
处理，需要安装opencv1.0。-the vc6.0 environment opencv face detection and recognition program based on the AdaBoost algorithm for processing the video stream, need installation opencv1.0.
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showing you how to use OpenCV s implementation of eigenface for face recognition
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基于PCA的人脸识别 适用于样本文件数量较小，用opencv实现-PCA-based face recognition for smaller number of sample documents, using opencv
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OpenCV人脸检测源代码,可用于进行对人脸的识别和处理-OpenCV face detection source code can be used to carry out face recognition and treatment
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这是一份基于VC的简单车牌识别代码，初学opencv的不妨借鉴参考。-This is a simple license plate recognition based on the VC code, beginner may wish to draw the opencv reference.
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以c++和opencv为工具，通过摄像头捕捉到肤色区域，并跟踪，实现手势识别-In c++ and opencv as a tool, through the camera to capture color region and tracking, gesture recognition
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opencv识别行人实例代码，需要自行加opencv的库，即可使用。-It s an opencv example code of Pedestrian recognition , you need to add their own opencv library to use.
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DeepLearnToolbox_CNN_lzbV2.0
深度学习,卷积神经网络,Matlab工具箱
参考文献:
[1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006
[2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998
[3] https://github.com/rasmusberg
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CNN - 主程序
参考文献:
[1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006
[2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998
[3] https://github.com/rasmusbergpalm/DeepLearnToolbox
作者：陆振波
电子
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用vs2013 opencv3.0 实现了视频中火焰检测，test视频是打火机，和小火堆，都可以进行识别，是很好的颜色识别。(With vs2013 opencv3.0 video flame detection, test video is a lighter, and small fire, can be identified, is a good color recognition.)
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Deaf people communication technology
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opencv3.3以上的版本调用caffe模型提前训练好的模型进行图片识别。(The above version of opencv3.3 calls the Caffe model in advance training model for image recognition.)
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本例程是我研究生阶段做的一个小项目，该项目用pytorch的深度学习框架来进行人体姿态识别，能够实现头部和身体的骨架识别！图像处理方面加入了OpenCV包进行相关的处理，希望能帮助大家！(175/5000
This routine is a small project that I did in the graduate stage. The project uses pytorch's deep learning framework to recognize human body postu
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