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使用Gabor-Feature 的人脸检测matlab程序，自带测试图像-Face Detection using Gabor-Feature Extraction and Neural Networks
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神经网络人脸检测程序。采用Gabor变换提取特征，使用前馈网络分类识别。-Face Detection Program。
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基于神经网络的脸部识别系统,程序使用的技术是Gabor和神经网络-face detection
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tthis face detection program for user who wnat to work for the face detecrtion on matlab using gabor filter for face.it is very useful method as ccompared to other methods-tthis is face detection program for user who wnat to work for the face detecrt
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Face Detection using Gabor feature extraction and neural network by matlab
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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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Face Detection using Gabor feature extraction and neural network
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用Matlab实现人脸检测的功能，程序正确，可以运行，包含测试图片-Face detection using Matlab functions implement the program correctly, you can run, including the test images
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先用gabor 小波滤波器,做特征提取，然后用支持向量机（SVM）做分类，来实现人脸检测.需要用matlab 2010 或更新的版本才能运行-the code is used for face detection.Firstly it use gabor wavelet filter for feature extraction,Secondly it use support vector machine (SVM）for classification.matlab 2010 required.
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this paper gives a brief discr iption of different methodology for face detection and facial expresssion recognition.for face detection Exhaustive search,Branch and Bound,Viola-Jones methods can be used. for expression recognition gabor filter, discr
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基于gabor的提取特征，利用人工神经网络进行人脸检测-
Feature extraction for face detection based on Gabor, using artificial neural network
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这个是面部表情自动识别的源代码。它是基于Viola和Jones的面部检测算法和Gabor面部特征点的提取，然后使用训练过的神经网络来识别人脸表情。-This is the automatic recognition of facial expression source code. It is Viola and Jones face detection algorithms and Gabor facial feature point extraction, and then use the
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gabor+神经网络实现人脸检测；可能会提示缺少data文件夹，自己在根目录下建一个就好了-gabor+ neural network face detection may be prompted to missing data folder in the root directory of built himself a nice
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基于Gabor特征提取和人工智能的人脸检测系统-Face Detection System Based on Gabor Feature Extraction and Artificial Intelligence
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有循环检测，周期性检测，Gabor小波变换与PCA的人脸识别代码，ldpc码的编解码实现。- There are cycle detection, periodic testing, Gabor wavelet transform and PCA face recognition code, Codec ldpc code implementatio.
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有循环检测，周期性检测，Gabor小波变换与PCA的人脸识别代码，相控阵天线的方向图（切比雪夫加权）。- There are cycle detection, periodic testing, Gabor wavelet transform and PCA face recognition code, Phased array antenna pattern (Chebyshev weights).
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在机器学习中，使用伽柏特征提取和神经网络来进行人脸检测。
-Face Detection using Gabor feature extraction and Neural Network
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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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