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这是用matlab编写人脸检测软件，是用的adaboost算法，参考价值还是很高的-using Matlab is prepared Face detection software is used adaboost algorithm, reference value or high
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在对图像进行Gabor变换后使用BP神经网络进行人脸检测的MATLAB程序-Gabor transform in the image using BP neural network after the face detection process MATLAB program
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This project provides matlab class for implementation of convolutional neural networks. This networks was developed by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot
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利用局部二位模式和haar特征进行人脸或目标识别。-This toolbox provides some tools for objects/faces detection using Local Binary Patterns (and some variants) and Haar features.
Object/face detection is performed by evaluating trained models over multi-scan windows with
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人脸检测代码，用matlab编写而成。方法：adaboost学习器学习法-Face detection code, compiled using matlab. Methods: AdaBoost learning machine learning method
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人脸检测代码，用matlab编写而成。方法：adaboost学习器学习法-Face detection code, compiled using matlab. Methods: AdaBoost learning machine learning method
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人脸检测代码，使用adaboost学习器学习法编写，用matlab编程-Face detection code, compiled using matlab. Methods: AdaBoost learning machine learning method
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1. 使用matlab自带的人脸识别工具（Viola-Jones算法）找出人脸的位置，并裁剪出人脸区域。
2. 使用Gabor滤波器识别出人脸的局部特征及纹理。
3. 训练一个SVM进行表情分类。
4. 交叉验证得到表情分类正确率为83.3 。
操作说明和系统描述请见ReadMe.-1. Using matlab with face detection tool (Viola-Jones algorithm) to find the location of a human
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利用matlab实现NLDA人脸识别算法，更详细的random sampling LDA, bagging NLDA和整合LDA算子利用majority vote 和sum rule的matlab 代码，人脸库使用ORL库或者XM2VTS库，地址：http://shop.zbj.com/14563255/sid-1213623.html- matlab codes for NLDA face detection, the face s are ORL. More details about r
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对人脸识别的基本进程进行综述,介绍了空间转换及识别的方法；采用低通滤波处理策略,在总结和分析这些处理方法的基础上,运用填孔处理和边缘检测的人脸识别方法进行人脸识别工作；将几种边缘检测算法与人脸识别相结合进行检测,其识别率有可观的提升。(The basic process of face recognition is reviewed, and the method of space conversion and recognition is introduced. On the basis of
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