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it is the code for digital image processing using matlab for face detection
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利用神经网络和高波小波特征进行人脸检测的Matlab源码-Using neural networks and high-wave wavelet feature face detection Matlab source
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matlab代码程序，利用Adaboost算法训练人脸图像和非人脸图像，通过迭代得到由多个弱分类器组合而成的强分类器，实现图片里的人脸检测。-Matlab code，Using Adaboost algorithm to train the face images and not face images, obtained strong classifier which is conprised of multiple weak classifiers by iteration ， re
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利用matlab 2012a 內建Demo 做人臉偵測程式-Built-in Demo human face detection program using matlab 2012a
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使用MATLAB机器视觉工具箱实现人脸的检测和跟踪-Face detection and tracking using MATLAB Machine Vision Toolbox
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基于K-L展开的人脸检测matlab程序，采用K-L展开对图片主成分分析、多图训练，从而达到在复杂图片中检测人脸的功能。-KL expansion based on face detection matlab program, using KL expansion of the picture principal component analysis, multi-map training, so as to achieve a complex picture face detection fu
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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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清华matlab图像处理大作业，其中人脸检测部分没有采用rgb而是采用hsv模型替代-Tsinghua matlab image processing large operation, which does not use face detection part rgb hsv model instead of using alternative
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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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人脸识别代码，数字图像处理
使用matlab内置函数-face detection program, using matlab function to detect human face
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数字图像处理project4， 人脸检测，利用matlab自带工具箱-Digital image processing project4, face detection, built using matlab toolbox
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利用hausdorff距离判断匹配，实现人脸检测的matlab程序，实现速度还不错-Using Hausdorff to judge the distance matching,Implementation of face detection matlab program，Speed is also good》
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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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Matlab code for face detection and recognition using DWT
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人脸检测特征点定位程序ASM,使用matlab程序编的，做人脸检测的可以参考写-Face detection feature point locator ASM, compiled using the matlab program, a man face detection can refer to write
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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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利用matlab工具，实现了对图像中的人脸区域进行检测，并标记出来，也能够在具有多个人脸的图像中实现。-Using matlab tool to achieve the image of the face area of the detection, and marked out, but also in a number of faces with the image to achieve.
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