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Matching Pursuit方法，经典的稀疏表示方法，可以用人脸识别和图像分类，图像去噪，现在非常流行。-Matching Pursuit method, sparse representation of the classic, you can use face recognition and image classification, image denoising, now very popular.
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KPCA与SVM共同用于人脸识别 SVM提高了分类效果 KPCA是一种借鉴SVM中核函数的一种较好的特征提取方法-KPCA and SVM for face recognition SVM together to improve the classification results from KPCA is a kernel function in SVM a better feature extraction method
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人脸识别技术是计算机模式识别领域非常活跃的研究课题，在法律、商业等领域有
着广泛的应用前景。自动人脸识别系统一般由两个模块组成：定位与检测模块，特征提
取与识别模块。本文对两个子模块进行了详细讨论，通过实验仿真了一个基于静态图像
的人脸识别系统。为提高系统的识别率，本文对定位检测模块和特征提取模块进行了深
入研究。
针对复杂多变人脸检测和定位问题，实现了一种基于对称特征的人脸定位方法。该
算法首先基于肽色特征提取出人脸区域，根据眼睛的颜色和梯度特征在肤色区找到眼睛
可
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This paper presents a new human skin color model in
YCbCr color space and its application to human face
detection. Skin colors are modeled by a set of three
Gaussian clusters, each of which is characterized by a
centroid and a covariance matr
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gender classification research
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These are one implementations of the algorithm for Face Recognition on CMU Multi-PIE.
Please refer to the following paper
Meng Yang, Lei Zhang, and David Zhang, "Efficient Misalignment Robust Representation
Representation for Real-Tim
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提出了一种基于DCT提取人脸特征技术和支持向量机分类模型的人脸识别方法。利用离
散余弦变换可提取人脸可识别的大部分信息,而支持向量机作为分类器,在处理小样本、高维数等
方面具有独特的优势,且泛化能力很强,无需先验知识。从ORL 人脸库上的实验结果可以看出,
DCT特征提取是很有效的,且SVM的分类性能优于最近邻分类器,同时提高了整个系统的运算速
度。-A face recognition method based on DCT for face feature extractio
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2009-浙大-面向人脸识别的子空间分析和分类方法研究.nh-2009- Zhejiang University- subspace for face recognition analysis and classification method. Nh
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Eigenfaces are a set of eigenvectors used in the computer vision problem of human face recognition. The approach of using eigenfaces for recognition was developed by Sirovich and Kirby (1987) and used by Matthew Turk and Alex Pentland in face classif
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COST-SENSITIVE SEMI-SUPERVISED DISCRIMINANT ANALYSIS FOR FACE RECOGNITION
Abstract:
In our Project, we present a cost-sensitive semi-supervised discriminant analysis method for face recognition.
In previous methods of dimensionality reductio
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人脸的研究是跨越人文科学与自然科学的新兴交叉研究领域，在最近几年得到了模式识别领域众多学者的重视，也取得了良好的研究成果。针对人脸这种生物特征的识别，在其过程中最为重要的一个环节是特征的提取，更好的提取出人脸的特征，将会使得识别更有有效和准确，提高分类的同时，也是的识别率有良好的提高。-Face recognition research is a new cross field across the humanities and natural science, had many scholar
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它是混合核函数方面的，对于分类的研究有很好的帮助的作用。而且是关于人脸识别的。-It is a hybrid kernel function aspects of the study of the role of classification good help. And about face recognition.
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基于opencv上的人脸检测分类器具体算法实现，和代码。-Face Detection achieve specific classification algorithm based on opencv, and code.
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基于opencv的人脸识别分类器算法与具体实现代码。-Implementation code based opencv face recognition algorithms and specific classification.
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利用PCA进行降维，并利用adaboost进行分类的人脸识别方法描述-Use PCA dimensionality reduction , face recognition method using adaboost classification descr iption
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This project describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of the problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the
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This project describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of the problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the
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人脸识别，分类SVM，对图片进行训练，标签，识别。-Face recognition, classification SVM
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Face Recognition light treatment method, Based on negative entropy largest independent component analysis, Relief computing classification weight.
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