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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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基于弹性模板匹配的人脸表情识别程序。首先针对静态表情图像进行表情图像的灰度、尺寸归一化，然后利用Gabor小波变换提取人脸表情特征以构造表情弹性图，最后提出基于弹性模板匹配及K-近邻的分类算法实现人脸表情的识别。-Flexible template matching based on facial expression recognition procedures. First of all, the expression for the static image of the gray-sca
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Face Recognition using wavelet transform in matlab
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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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this book explains the face recognition algorithm using gabor wavelet
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lda线性特征提取，用于人脸识别，首先进行小波特征提取后用lda提取特征。-lda linear feature extraction for face recognition, first of all, after feature extraction using wavelet feature extraction using lda.
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小波融合pca，采用特征级的融合，用于人脸识别。-Wavelet fusion pca, using Feature-level fusion for face recognition.
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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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提出了基于特征融合和模糊核判别分析(FKDA)的面部表情识别方法。首先，从每幅人脸图像中手工定
位34个基准点，作为面部表情图像的几何特征，同时采用Gabor小波变换方法对每幅表情图像进行变换，并提取基
准点处的Gabor小波系数值作为表情图像的Gabor特征；其次，利用典型相关分析技术对几何特征和Gabor特征进
行特征融合，作为表情识别的输人特征；然后，利用模糊核判别分析方法进一步提取表情的鉴别特征；最后，采用最
近邻分类器完成表情的分类识别。通过在JAFFE国际表情数据库和
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提出了利用小波变换和余弦变换与BP神经网络相结合的人脸识别方法-Using the wavelet transform and cosine transform and BP neural network face recognition combining
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利用Gabor小波变换解决人脸识别中的小样本问题.caj-Face Recognition using Gabor wavelet transform to solve the small sample size problem. Caj
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program on image processing based on MATLAB for biometric recognition
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Combined Face Recognition Using Wavelet Transform and Bayesian
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基于双低频小波变换和k近邻分类器的人脸识别算法源程序-Dual low frequency wavelet transform and k-nearest neighbor classifier based face recognition algorithm source
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This study proposes a novel near infrared face recognition algorithm based on a combination of both
local and global features. In this method local features are extracted from partitioned images by means
of undecimated discrete wavelet transform
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Gabor小波变换与PCA的人脸识别代码，用MATLAB编写的遗传算法路径规划，抑制载波型差分相位调制。- Gabor wavelet transform and PCA face recognition code, Genetic algorithms using MATLAB path planning, Suppressed carrier type differential phase modulation.
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三相光伏逆变并网的仿真，空间目标识别，采用PM算法，Gabor小波变换与PCA的人脸识别代码。- Three-phase photovoltaic inverter and network simulation, Space target recognition algorithm using PM, Gabor wavelet transform and PCA face recognition code.
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ICA（主分量分析）算法和程序，Gabor小波变换与PCA的人脸识别代码，使用大量的有限元法求解偏微分方程。- ICA (Principal Component Analysis) algorithm and procedures, Gabor wavelet transform and PCA face recognition code, Using a large number of finite element method to solve partial differential eq
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Gabor小波变换与PCA的人脸识别代码，基于K均值的PSO聚类算法,使用大量的有限元法求解偏微分方程。- Gabor wavelet transform and PCA face recognition code, K-means clustering algorithm based on the PSO, Using a large number of finite element method to solve partial differential equations.
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