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[Graph RecognizeFace_Recognition_Based_on_PCA_Comparative_Study.ra

Description: 主成成份分析( PCA) 方法是人脸识别技术中常用的一种一维特征抽取方法。传统PCA 方法用于人脸识别常常面临图像维数高,直接计算量的问题。为了解决这2 个问题,人们对PCA 进行了改进,提出并实现了多种基于PCA 的人脸识别。对3 种基于PCA 的人脸识别方法做了理论上的研究和实验上的性能比较。实验结果表明PCA + 2DPCA 是其中综合效果最好的一种方法。-Principal component analysis into (PCA) is a commonly used face recognition feature extraction method of one-dimensional. The traditional PCA method for face recognition are often faced with images of high dimensionality, direct calculation of the problem. To solve this two problems, one of the PCA has been improved, proposed and implemented a variety of PCA-based Face Recognition. On 3 Face Recognition Based on PCA do theoretical research and experiments on the performance comparison. Experimental results show that the PCA+ 2DPCA combined effect is one of the best methods.
Platform: | Size: 316416 | Author: Open00 | Hits:

[Graph Recognize2D-LDA

Description: 2维线性判别进行人脸识别的程序,很不错!采用ORL人脸库,取每人的1、3、5、7、9五幅图像作为训练图像,其余作为测试图像,进行二维线性判别。计算出特征向量矩阵,降序排列后,取前d(d=2,4,6,……,20)个特征向量组成的矩阵作为变换矩阵,对训练集合测试集进行特征重建,最后采用最近邻分类器。附有实验的结果。-code for face recognition based 2D-LDA,the performance is nice!
Platform: | Size: 2834432 | Author: 王阳丽 | Hits:

[OpenCVlbp

Description: 1.解压缩之后,在vs2008下可直接运行,不过需要安装opencv 2.提供人脸检测与识别功能 3.人脸识别,需要预先选定文件夹提取特征向量,然后才可以选取比较,这个需要改源程序-1. Unzipped, run directly under the vs2008, but need to install opencv 2. Provides face detection and recognition 3. Recognition, pre-selected folder need to extract the feature vectors before they can select a comparison, this need change the source code
Platform: | Size: 13505536 | Author: 文石磊 | Hits:

[Software Engineering3-D-Face-Recognition

Description: Face Recognition Algorithms with 3DAlgorithms
Platform: | Size: 791552 | Author: hoa | Hits:

[Software Engineering3-D-Models-Pose-and-Illumination

Description: The 3-D Morphable Model was introduced as a generative model to p redictthe appearances o f an individual while using a statistical prior on shape and texture allowin g its parameters to be estimated from single image. Based on these new unde rstandings , face recognition algorithms have been developed to address the joint challenges of pose and lighting.
Platform: | Size: 1209344 | Author: bobobobo | Hits:

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