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基于小波的人脸识别算法的matlab实现-Face recognition based on wavelet algorithm to achieve the Matlab
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Library for creating computer vision systems, using OpenCV, encapsulating the main functionalities on easy to use C++ way, and extending them. It includes face recognition, wavelet transform, stereo vision (future) and speak recognition(future).
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透過jjil在android上實現haar人臉偵測 ,Android through jjil achieved in haar Face detection
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PCA人脸识别算法,识别率达到99 ,采用小波变换的方法及主成分分析法。-PCA face recognition algorithm, the recognition rate up to 99 , using wavelet transform methods and principal component analysis.
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人脸识别的小波变换程序,速度快,简单易懂-Face Recognition wavelet transform procedures, fast, easy-to-read
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为了提供较大的秘密信息嵌入量和保持良好的载密图像质量,依据人眼对变换剧烈及较暗区域均不敏感的视觉特点,提出了一种基于小波对比度和最低比特位替换(LSB)的图像密写方法.该方法先将载体图像分成固定大小的小块,对每一小块进行小波分解后计算小波对比度.然后,根据该块小波对比度绝对值之和确定该块可以嵌入的位平面层数.最后,采用LSB密写技术逐层嵌入秘密信息.实验结果表明,该密写方法能嵌入较多的信息和保持良好的载密图像质量,并且可直接从载密图像中提取秘密信息.-In order to provide la
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face recognition based on wavelet domain
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基于遗传算法和bp网络的简单人脸识别,只能识别三种表情。图像经过简单的小波变换处理-Bp networks based on genetic algorithm and a simple face recognition, could only identify three kinds of expressions. After a simple wavelet transform image processing
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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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Wavelet transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally th
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收集的最全的人脸识别代码 有小波分析,有PCA,有LDA,有特征脸方法实现人脸识别-The most comprehensive collection of face recognition code is wavelet analysis, a PCA, a LDA, there are ways to achieve face recognition feature
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One of Biometrics fields is face recognition & face expression recognition ...
1- In face recognition .. we need to design authentication program by training a neural network ,there are two source codes..one of them is based on Discrete Wavelet Tr
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Gabor小波和局部二值模式结合的一种人脸识别算法 不错的算法-Gabor wavelet and local binary patterns with a good algorithm for face recognition algorithm
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program on image processing based on MATLAB for biometric recognition
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本文针对人脸图像的特点,选取一组Gabor 小波核,并用这组Gabor 小波核对人脸图像进行Gabor 小波变换,提取人脸
图像的有效信息。在此基础上,用2DPCA 对Gabor 小波提取的
数据矩阵进行降维,最后用最近邻法对人脸进行分类。-In this paper, the characteristics of face images, select a set of Gabor wavelet kernel, and check with this set of Gabor wav
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基于小波和傅立叶变换的人脸识别,具有较好的参考价值。-Based on wavelet and Fourier transform face recognition, and has a good reference value.
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Face Recognition Based on PCA on Wavelet Subband
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小波变化和人工神经网络关于人脸识别完整程序-Wavelet transform and artificial neural network on a complete face recognition program
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基于小波和神经网络的人脸识别系统,里面含有GUI界面-Wavelet and neural network-based face recognition system
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基于Gabor小波变换和人工神经网络的人脸识别算法(Face Recognition Method Based on Gabor Wavelet Transform and Artificial Neural Network)
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