Description: 基于对角DCT和2Dpca的matlab人脸识别源码。-right angle based on DCT and the Matlab 2Dpca Face Recognition source. Platform: |
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Author:文滔 |
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Description: 基于对角DCT和2Dpca的matlab人脸识别源码。-right angle based on DCT and the Matlab 2Dpca Face Recognition source. Platform: |
Size: 2048 |
Author:文滔 |
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Description: 基于2D-DCT和模块2DPCA的人脸识别系统的实现（matlab）-Based on the 2D-DCT and modules 2DPCA Face Recognition System (matlab) Platform: |
Size: 4164608 |
Author:黄文 |
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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: |
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Author:刘文珍 |
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Description: High information redundancy and correlation in face images result in efficiencies when such images are used directly for recognition. In this paper, discrete cosine 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 that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches.-High information redundancy and correlation in face images result in inefficiencies when such images are used directly for recognition. In this paper, discrete cosine 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 that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches. Platform: |
Size: 25600 |
Author:mhm |
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Description: 本文介绍了 DSP6711的硬件特性 分析了人脸检测、 识别的原理及算法的选型 运用基于 DCT变换域的 LDA的特征提取方法 ,实现了人脸的自动识别。在 Yale人脸库上的实验结果表明本算法识别率要比直接用 PCA进行特征提取的方
法要好-This article describes the DSP6711 hardware features analysis of face detection, recognition of the principle and algorithm selection the use of the LDA transform domain DCT-based feature extraction method, to achieve automatic recognition of human faces. In the Yale face database of experimental results show that the algorithm is the recognition rate than the direct use of PCA for feature extraction method is better Platform: |
Size: 339968 |
Author:louc |
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Description: 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 extraction and support vector machine classification model. Can extract most of the information face recognition using discrete cosine transform and support vector machine as classifier, has unique advantages in dealing with small sample, high dimension and generalization ability, without prior knowledge. As can be seen from the experimental results on the ORL database DCT feature extraction is very effective, and the SVM classification performance better than the nearest neighbor classifier, while increasing the speed of operation of the entire system. Platform: |
Size: 354304 |
Author:罗朝辉 |
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Description: 基于加权DWT和DCT神经网络人脸识别方法，是一篇比较新颖的论文，欢迎大家下载。-Based on DWT and DCT Weighted Neural Network to Face Recognition is a relatively new paper, welcome to download. Platform: |
Size: 403456 |
Author:张张 |
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Description: 程序用vc6.0编写，基于离散余弦变换DCT和bp神经网络的人脸识别。采用ORL人脸库，对图像进行DCT低通滤波，再用BPNN进行训练或识别，样本空间内识别效果好。设计流程参考了本站 yaxuan 的v3.3(http://www.pudn.com/downloads330/sourcecode/math/detail1452162.html)(本程序不包含原作的粒子群修正权值及网络结构调整等功能，但调整了训练样本的排列顺序) 感谢原作者，若有侵权我会删除此上传^ ^-Vc6.0 procedures used to prepare, transform and DCT bp neural network recognition based on discrete cosine. Use ORL face for image DCT lowpass filter, and then BPNN training or recognition, good recognition effect within the sample space. The design process of the reference site yaxuan v3.3 (http://www.pudn.com/downloads330/sourcecode/math/detail1452162.html) (The program does not contain particle swarm correction weights and network features such as the original restructuring but adjusted the order of training samples) thanks to the original, if tort I will remove this upload ^ ^ Platform: |
Size: 3476480 |
Author:连云 |
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Search - face recognition based on dct