Description: 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).-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). Platform: |
Size: 2207744 |
Author:廖广军 |
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Description: 基于Gabor小波变换和人工神经网络的人脸识别方法，matlab代码。-Based on the Gabor wavelet transform and artificial neural network methods for face recognition, matlab code. Platform: |
Size: 219136 |
Author:赵菁 |
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Description: 一篇小波包人脸识别的IE文章
Local Discriminant Wavelet Packet Coordinates for Face Recognition .pdf-Face Recognition of a wavelet packet IE article Local Discriminant Wavelet Packet Coordinates for Face Recognition. Pdf Platform: |
Size: 285696 |
Author:shj |
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Description: 离散小波变换，然后主成分分析进行数据降维，用于模式识别，如人脸识别，掌纹，表情，指纹等识别。-Discrete wavelet transform, and then principal component analysis for data dimensionality reduction for pattern recognition, such as face recognition, palmprint, face, fingerprint and other identification. Platform: |
Size: 16384 |
Author:陈浩 |
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Description: 基于小波分析和主成分分析的人脸识别研究随着社会的发展，社会各个方面对快速有效的身份验证的要求日益迫切。由
于生物特征是人的内在属性，具有很强的自身稳定性和个体差异性，因此是身份
验证的理想依据。其中利用人脸特征又是最自然直接的手段，相比其他生物特征，
它具有直接、友好、方便的特点，易于为用户接受。从而，人脸识别吸引了越来
越多来自计算机视觉和信号处理等领域的关注，成为模式识别、图像处理等学科
的研究热点。-Based on wavelet analysis and principal component analysis of the Face Recognition With the social development of all aspects of society in his capacity as quickly and efficiently verify the requirements of increasingly urgent. Biological characteristics as a result of the inherent human attribute, has a strong individual differences in their stability and, therefore, is an ideal basis for authentication. The use of facial features which is the most natural means of direct, compared with other biological characteristics, it has a direct, friendly, convenient and easy for users to accept. Thus, face recognition has attracted more and more from the computer vision and signal processing and other areas of concern, as a pattern recognition, image processing, such as the research subjects. Platform: |
Size: 37888 |
Author:付采 |
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Description: 针对灰度图像，提出一种基于知识的人脸检测方法。
提出了一种给予支持向量机的人脸检测方法。
提出了一种基于小波分解的LDA人脸识别方法。
提出了一种基于小波和DCT的人脸识别方法。
提出了一种机遇CEDT和支持向量机的人脸分类和识别方法。
-For gray-scale images, a knowledge-based face detection methods. A support vector machine method of face detection. A wavelet decomposition of the LDA-based face recognition methods. A wavelet and DCT-based face recognition methods. A CEDT opportunities and support vector machine classification and face recognition. Platform: |
Size: 7113728 |
Author:yanyan |
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Description: 人脸识别因其在安全验证系统、信用卡验证、医学、档案管理、视频会
议、人机交互、系统公安(罪犯识别等)等方面的巨大应用前景而越来越成为
当前模式识别和人工智能领域的一个研究热点。
本文提出了基于24位彩色图像对人脸进行识别的方法，介绍的主要内容是图像处理，它在整个软件中占有极其重要的地位，图像处理的好坏直接影响着定位和识别的准确率。本软件主要用到的图像处理技术是：光线补偿、高斯平滑和二值化。在识别前，先对图像进行补光处理，再通过肤色获得可能的脸部区域，最后根据人脸固有眼睛的对称性来确定是否就是人脸，同时采用高斯平滑来消除图像的噪声，再进行二值化，二值化主要采用局域取阈值方法，接下来就进行定位、提取特征值和识别等操作。经过测试，图像预处理模块对图像的处理达到了较好的效果，提高了定位和识别的正确率- Face recognition is a complex and difficult problem that is important for surveillance and security, telecommunications, digital libraries , video meeting, and human-computer intelligent interactions.
The paper introduced the method of face recognition that based on the 24 bit multicolor image, Main content that the paper introduced is the picture treatment, It occupies the extremely important position in the whole software, the quality of picture process directly influenced the accuracy rate of localization and discerning. The picture process technology that the software mainly used included : light compensating、gauss smooth and twain value method. before discerning, we compensated the light for image, then we could obtain the possible face area through the complexion, finally, the system could depend on the symmetry of eyes to make sure whether it is the face of people, at the same time, the system could eliminate noises through the method that named gauss smoothness, then we use Platform: |
Size: 2286592 |
Author:张雨 |
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Description: This paper identifies a novel feature space to
address the problem of human face recognition from
still images. This based on the PCA space of the
features extracted by a new multiresolution analysis
tool called Fast Discrete Curvelet Transform. Curvelet
Transform has better directional and edge
representation abilities than widely used wavelet
transform. Inspired by these attractive attributes of
curvelets, we introduce the idea of decomposing
images into its curvelet subbands and applying PCA
(Principal Component Analysis) on the selected
subbands in order to create a representative feature
set. Experiments have been designed for both single
and multiple training images per subject. A
comparative study with wavelet-based and traditional
PCA techniques is also presented. High accuracy rate
achieved by the proposed method for two well-known
databases indicates the potential of this curvelet based
feature extraction method.-This paper identifies a novel feature space to
address the problem of human face recognition from
still images. This is based on the PCA space of the
features extracted by a new multiresolution analysis
tool called Fast Discrete Curvelet Transform. Curvelet
Transform has better directional and edge
representation abilities than widely used wavelet
transform. Inspired by these attractive attributes of
curvelets, we introduce the idea of decomposing
images into its curvelet subbands and applying PCA
(Principal Component Analysis) on the selected
subbands in order to create a representative feature
set. Experiments have been designed for both single
and multiple training images per subject. A
comparative study with wavelet-based and traditional
PCA techniques is also presented. High accuracy rate
achieved by the proposed method for two well-known
databases indicates the potential of this curvelet based
feature extraction method. Platform: |
Size: 432128 |
Author:Swati |
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Description: 实现2DLDA和LDA对人脸识别的比较，有论文和相应的程序，matlab编写-A matlab code of 2DLDA and LDA for face recognition Platform: |
Size: 288768 |
Author:xiaoxiran |
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Description: 一个小波+快速傅立叶变换的人脸识别程序，程序简单，效果好-A wavelet+ Fast Fourier Transform for Face Recognition Procedure Platform: |
Size: 2048 |
Author:Louis lu |
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Description: 首先进行小波变换，在此基础上进行pca特征提取，在进行lda特征提取，用于人脸识别-First, wavelet transform, in this based on pca feature extraction, feature extraction during lda for face recognition Platform: |
Size: 2048 |
Author:gu |
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Description: 二维线性鉴别分析(2DLDA)算法能有效解决线性鉴别分析(LDA)算法的“小样本”效应，支持向量机
(SVM)具有结构风险最小化的特点，将两者结合起来用于人脸识别。首先，利用小波变换获取人脸图像的低频分量，忽
略高频分量：然后，用2DLDA算法提取人脸图像低频分量的线性鉴别特征，用“一对多”的SVM 多类分类算法完成人脸
识别。基于ORL人脸数据库和Yale人脸数据库的实验结果验证了2DLDA+SVM算法应用于人脸识别的有效性。-”Small sample size”problem of LDA algorithm can be overcome by two—dimensional LDA f 2DLDA)，and
Support Vector Machine(SVM)has the characteristic of structural risk minimization．In this paper，two methods were
combined and used for face recognition．Firstly，the original images were decomposed into high—frequency and low—frequency
components by Wavelet Transform(WT)．The high—frequency components were ignored，while the low—frequency components
can be obtained．Then．the liner discriminant features were extracted by 2DLDA，and”one VS rest”。strategy of SVMs for
muhiclass classification was chosen to perform face recognition． Experimental results based on ORL f Olivetti Research
Laboratory1 face database and Yale face database show the validity of 2DLDA+SVM algorithm for face recogn ition． Platform: |
Size: 236544 |
Author:费富里 |
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Description: 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 that when Wavelet 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 Wavelet-based face recognition much more accurate than other approaches.
Platform: |
Size: 21504 |
Author:mhm |
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Description: Gabor小波变换与PCA的人脸识别代码，自己做的毕设，希望可以帮到其他跟我一样曾经迷茫的人-Gabor Wavelet Transform and PCA for face recognition code, do their own complete set, the desire to help others like me who had lost Platform: |
Size: 2048 |
Author:yangxiaying |
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Description: Gabor小波在人脸识别中的应用，matlab编程，毕设可以用到的很好的资料-Gabor wavelet for face recognition applications, matlab programming, complete set of information can be used well Platform: |
Size: 12288 |
Author:yangxiaying |
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Description: Gabor小波和局部二值模式结合的一种人脸识别算法 不错的算法-Gabor wavelet and local binary patterns with a good algorithm for face recognition algorithm Platform: |
Size: 278528 |
Author:桓董 |
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Description: 针对传统的ICA算法存在的计算复杂度过高,训练和识别消耗时间过多的问题,通过对一般的用于人脸识别的小波变换(WT)方法加以改进,实现了一种基于WT的ICA算法-Spend too many time-consuming problem of high training and recognition complex calculations exist for the traditional ICA algorithm to be improved by the method generally used for face recognition wavelet transform (WT), to achieve the ICA based WT algorithm Platform: |
Size: 5120 |
Author:谭立国 |
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Search - wavelet for face recognition