Welcome![Sign In][Sign Up]
Location:
Search - nearest face

Search list

[Other resourcefaceRegnize

Description: 人脸识别的matlab程序,先训练后测试,输入一副图像后将输出最接近的几副人脸。-procedures and training tests after an input image output for the nearest deputy Face.
Platform: | Size: 1547856 | Author: 僧竿 | Hits:

[matlabfaceRegnize

Description: 人脸识别的matlab程序,先训练后测试,输入一副图像后将输出最接近的几副人脸。-procedures and training tests after an input image output for the nearest deputy Face.
Platform: | Size: 1547264 | Author: 僧竿 | Hits:

[Graph RecognizeLDA2D-2

Description: 人脸识别中2DLDA算法的matlab程序,使用最近邻分类器进行识别。-Face Recognition 2DLDA algorithm matlab procedures, the use of nearest neighbor classifier to identify.
Platform: | Size: 1024 | Author: niushaobo | Hits:

[Graph RecognizePCA2D

Description: 人脸识别中2DPCA算法的matlab程序,使用最近邻分类器进行识别。-Face Recognition 2DPCA algorithm matlab procedures, the use of nearest neighbor classifier to identify.
Platform: | Size: 1024 | Author: niushaobo | Hits:

[Graph RecognizePCA

Description: 人脸识别中PCA算法的matlab程序,使用最近邻分类器进行识别。-PCA Face Recognition Algorithm matlab procedures, the use of nearest neighbor classifier to identify.
Platform: | Size: 1024 | Author: niushaobo | Hits:

[matlabTLDA_1

Description: 人脸识别中TensorLDA算法的matlab程序,使用最近邻分类器进行识别。-Face Recognition TensorLDA algorithm matlab procedures, the use of nearest neighbor classifier to identify.
Platform: | Size: 2048 | Author: niushaobo | Hits:

[Embeded-SCM DevelopTPCA

Description: 人脸识别中TensorPCA算法的matlab程序,使用最近邻分类器进行识别。-Face Recognition TensorPCA algorithm matlab procedures, the use of nearest neighbor classifier to identify.
Platform: | Size: 2048 | Author: niushaobo | Hits:

[Mathimatics-Numerical algorithmssg_min2.4.1.tar

Description: 黎曼流形上的优化算法。目标函数定义在黎曼流形上,在流形上利用梯度下降等进行优化-Provides four iterations for optimization on the Steifel and Grassmann manifolds: dog-leg steps Polak-Ribiere nonlinear CG Fletcher-Reeves nonlinear CG Newton s method Contains applications for nearest degenerate eigenproblems, least square diagonalization problems, Procrustes problems, and electronic structures problems
Platform: | Size: 30720 | Author: sun | Hits:

[Special EffectsFaceRecognitionBasedonWaveletTransform

Description: 基于小波变换的人脸识别代码本代码对图像进行小波分解,然后又用最近邻方法实现了图像的识别。-Face Recognition Based on Wavelet Transform code-wavelet based face recognition, the code of the image wavelet decomposition, and then with the nearest neighbor method to achieve the image recognition!
Platform: | Size: 1024 | Author: 田虎 | Hits:

[Graph Recognizenn

Description: Nearest neighbour for face recognition
Platform: | Size: 1156096 | Author: ling | Hits:

[AI-NN-PRDCT

Description: 本文设计基于DCT的人脸识别系统,首先结合当今人脸识别的背景和发展状况讨论了人脸识别的研究内容及在各方面的应用;然后研究了人脸识别进行预处理,讨论了人脸识别预处理的其他方法,分析各种方法的利弊,最后采用DCT(离散余弦变换)实现人脸图像预处理中的降维处理;接下来对人脸图像的特征提取进行了研究,简单叙述了几何特征提取和代数特征提取,同时深入研究了基于DCT和PCA变换的人脸图像特征提取,从而实现是否对人脸识别系统识别率有所提高的研究;对于分类器的选择,本文对两种分类器进行了探讨,即最近邻分类器和BP神经网络分类器,同时采用BP神经网络分类器作为本次基于DCT的人脸识别系统设计的分类器,并对BP神经网络进行分类的算法进行设计,BP神经网络具有学习功能,只要采用本系统对训练图片进行训练,就可以记下图像的相关信息,对于测试图片,就可以很准确的识别出该图片是属于哪个的。最后,本文对整个人脸识别系统设计实验进行了实验分析,实验结果表明本文采用的方法切实有效。- This is the design of the DCT-based face recognition systems. First of all, the background light of the current face recognition and face recognition to discuss the development of research in all aspects of content and applications And then studied the pretreatment of face recognition to discuss the pre-treatment of other face recognition methods,and analysis of the pros and cons of various methods, finally, the use of DCT (discrete cosine transform) image pre-processing to achieve in the face of the reduced-order processing Next on the face image feature extraction have been studied, A brief description of the feature extraction and algebraic geometry feature extraction, while in-depth study based on the DCT and the PCA Transform face image feature extraction in order to achieve face recognition system to identify whether the rate of increase in the research For the choice of classifier, this paper carried out on two of classifier, that is, nearest neighbor classifier and BP neura
Platform: | Size: 422912 | Author: 刘文珍 | Hits:

[Special Effects20064817924orl_faces_112x92

Description: ORL人脸图像库,共40人,每人10幅图像,其中每人的前5幅作为训练样本,后5幅作为测试分类样本,统计正确分类率。分类准则为最近邻规则。 真实的图像尺寸为112x92,列向量堆积对应人脸库矩阵的每一列。 -ORL face image database, a total of 40 per 10 images, each of which the first five as training samples, after the 5 categories as a test sample, correct classification rate statistics. Classification criteria for the nearest neighbor rule. The real image size is 112x92, the corresponding column vector face database matrix accumulation of each column.
Platform: | Size: 3500032 | Author: limei | Hits:

[AI-NN-PRUncorrelatedDiscriminantNearestFeatureLineAnalysis

Description: 人脸识别文章 Uncorrelated Discriminant Nearest Feature Line Analysis for Face Recognition-Face article Uncorrelated Discriminant Nearest Feature Line Analysis for Face Recognition
Platform: | Size: 226304 | Author: 杜君卓 | Hits:

[Special Effectsshibie

Description: 基于奇异值分解的人脸识别方法 梁毅雄 龚卫国 潘英俊 李伟红 刘嘉敏 张红梅 提出了一种将傅里叶变换和奇异值分解相结合的人脸自动识别方法.首先对人脸图像进行傅里叶变换,得到其具有位移不变特性的振幅谱表征.其次,从所有训练图像样本的振幅谱表征中给定标准脸并对其进行奇异值分解,求出标准特征矩阵,再将人脸的振幅谱表征投影到标准特征矩阵后得到的投影系数作为该人脸的模式特征.然后,对经典的最近邻分类器算法进行了改进,并采用模式特征之间的欧式距离作为相似性度量,从而完成对未知人脸的识别.采用ORL (Olivetti Research Laboratory)人脸库对本文提出的人脸识别方法进行验证,获得了100.00 的识别率.实验结果表明,本方法优于现有的基于奇异值分解的人脸识别方法,且对表情、姿态变换等具有一定的鲁棒性. -Face recognition based on singular value decomposition method Deliberate simultaneously Gong Weiguo Li Wei Hung Stephen Lau, Hong-Mei Zhang Ying-Jun Pan Paper, a Fourier transform and singular value decomposition of the combination of automatic face recognition. First of all, the face image by Fourier transformation, it has the same characteristics of the displacement amplitude spectra. Secondly, all training The amplitude spectrum of the sample images given in standard face representation and its singular value decomposition, find the standard characteristic matrix, then the amplitude of spectral characterization of human faces projected onto the standard characteristic matrix of projection coefficients obtained as the face of the model features . Then, the classical nearest neighbor classifier is improved, and the use of Euclidean distance between pattern features as the similarity measure, thus completing the identification of unknown human faces. using ORL (Olivetti Research La
Platform: | Size: 58368 | Author: houhj | Hits:

[AI-NN-PREmotionDetection

Description: It can detect human emotion from image. First it take an image, then by skin color segmentation it detect human skin color then it detect human face. Then it separate the eyes & lip from the face. Then it draw bezier curve for eyes & lips. Then it compare the bezier curve of eyes and lips to the bezier curves of eyes & lips that are stored in the data base. Then it find the nearest bezier curse from the data base & give that data base stored bezier curve emotion as this image emotion. BY shakil0304003
Platform: | Size: 2864128 | Author: Eugene | Hits:

[matlabkpca

Description: 运用KPCA方法在ORL人脸库上进行人脸识别,分类器为最近邻分类器。-KPCA method using ORL face database for face recognition, classification for the nearest neighbor classifier.
Platform: | Size: 1024 | Author: 胡丽娜 | Hits:

[WaveletFace-recognition

Description: 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 wavelet Gabor face image wavelet transform to extract useful information of face images. On this basis, with 2DPCA on data extracted Gabor wavelet dimension reduction matrix, and finally with the nearest neighbor method to classify the human face.
Platform: | Size: 55296 | Author: | Hits:

[DocumentsA Two-Phase Test Sample Sparse Representation

Description: In this paper, we propose a two-phase test sample representation method for face recognition. The first phase of the proposed method seeks to represent the test sample as a linear combination of all the training samples and exploits the representation ability of each training sample to determine M “nearest neighbors” for the test sample. The second phase represents the test sample as a linear combination of the determined M nearest neighbors and uses the representation result to perform classification. We propose this method with the following assumption: the test sample and its some neighbors are probably from the same class. Thus, we use the first phase to detect the training samples that are far from the test sample and assume that these samples have no effects on the ultimate classification decision. This is helpful to accurately classify the test sample. We will also show the probability explanation of the proposed method. A number of face recognition experiments show that our method performs very well.
Platform: | Size: 460458 | Author: may@uestc.edu.cn | Hits:

[AI-NN-PRNearest-Feature-Line-Analysis

Description: 基于不相关家别最近邻特征线分析的人脸识别研究。-Uncorrelated Discriminant Nearest Feature Line Analysis for Face Recognition
Platform: | Size: 227328 | Author: | Hits:

[matlabFACE

Description: 人脸识别的k近邻分类器,matlab代码- Recognition of k-nearest neighbor classifier,matlab
Platform: | Size: 134144 | Author: min qingyan | Hits:
« 12 3 »

CodeBus www.codebus.net