Description: pca人脸识别This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames Platform: |
Size: 2636 |
Author:蔡加欣 |
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Description: PCA人脸识别
This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames Platform: |
Size: 3317 |
Author:蔡加欣 |
Hits:
Description: PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames Platform: |
Size: 2353 |
Author:蔡加欣 |
Hits:
Description: PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames Platform: |
Size: 967 |
Author:蔡加欣 |
Hits:
Description: PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames Platform: |
Size: 1480 |
Author:蔡加欣 |
Hits:
Description: 利用Sub-pattern PCA在Yale人脸库上进行人脸识别的matlab源代码，子模式主成分分析首先对原始图像分块，然后对相同位置的子图像分别建立子图像集，在每一个子图像集内使用PCA方法提取特征，建立子空间。对待识别图像，经相同分块后，分别将子图像向对应的子空间投影，提取特征。最后根据最近邻原则进行分类。-Sub-pattern PCA use in the Yale face database for face recognition on the matlab source code, sub-mode principal component analysis first of the original image block, and then the same sub-image, respectively, the location of the establishment of sub-image set, in each sub-image Set the use of PCA to extract the features, the establishment of sub-space. Treatment to identify images, by the same block, the respective sub-image to the corresponding sub-space projection, feature extraction. Finally, according to the principle of nearest neighbor classification. Platform: |
Size: 2048 |
Author:章格 |
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Description: PCA人脸识别
This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames-PCA Face Recognition This package implements basic Principal Component Analysis in Matlab andtests is with grayscale portion of the FERET database. Images are notpreprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames Platform: |
Size: 3072 |
Author:蔡加欣 |
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Description: PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames Platform: |
Size: 2048 |
Author:蔡加欣 |
Hits:
Description: PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames-PCA Face Recognition This package implements basic Principal Component Analysis in Matlab andtests is with grayscale portion of the FERET database. Images are notpreprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames Platform: |
Size: 1024 |
Author:蔡加欣 |
Hits:
Description: PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames-PCA Face Recognition This package implements basic Principal Component Analysis in Matlab andtests is with grayscale portion of the FERET database. Images are notpreprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames Platform: |
Size: 1024 |
Author:蔡加欣 |
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Description: 介绍并实现了一套完整的指纹图像预处理方法,通过剩余块处理和平滑方法改进了传统
的指纹图像分割算法 使用方向匹配的方法对指纹图像方向块进行方向滤波完成图像增强 并除去细化后存在的短线和毛刺。该算法对Secugen指纹仪采集的图像和FVC2004数据库中的指纹图像进行实验,结果表明经过预处理后的指纹图像质量得到明显增强,方便进行细节特征提取。-Introduction and realize a complete set of fingerprint image pre-processing methods, and treatment through the remaining block smoothing method to improve the traditional fingerprint image segmentation algorithm using the direction of matching the method of fingerprint image filtering direction the direction of block completion of image enhancement and refinement to remove after the the existence of short-term and burr. The algorithm for fingerprint Secugen Miriam Collection FVC2004 images and fingerprint images in the database to conduct experiments, results showed that after pretreatment of the fingerprint image quality has been markedly enhanced, to facilitate the details of feature extraction. Platform: |
Size: 750592 |
Author:张杰 |
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Description: 此实验使用核Fisher鉴别分析（KFDA）方法在ORL人脸数据库上进行人脸识别试验。ORL标准人脸库共包含40人，每人10幅共400幅BMP图像。-This experiment the use of nuclear Fisher discriminant analysis (KFDA) method on ORL face database for face recognition test. Standard ORL face database contains a total of 40 people, 10 per person a total of 400 BMP images. Platform: |
Size: 6144 |
Author:liz |
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Description: 基于fisherface的人脸图像识别，采用lda降维的方法来识别人脸图像-This package implements a well-known FLD-based face recognition
method, which is called Fisherface [1].
All functions are easy to use, as they are heavy commented.
Furtheremore, a sample script is included to showe their usage.
In general, you should follow this order:
1. Select training and test database paths.
2. Select path of the test image.
3. Run CreateDatabase function to create 2D matrix of all training images.
4. Run FisherfaceCore function to produce basis s of facespace.
5. Run Recognition function to get the name of equivalent image in training database.
For your convenience, I have prepared sample training and test databases, which are parts
of face94 Essex face database [2]. You just need to copy the above functions, along with
the training and test databases into a specified path (for example work path of your
MATLAB root). Then follow dialog boxes, which will appear upon running examp Platform: |
Size: 262144 |
Author:paul |
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Description: 车牌的定位算法 基于MATLAB开发 对图像处理的初学者很有帮助-a principal component analysis is performed on the random process defined by plate images, which will be the same images used in the database referred Platform: |
Size: 2048 |
Author:maliguo |
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Description: This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames. Platform: |
Size: 33792 |
Author:nick |
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Description: This package implements basic Principal Component Analysis and Eigen Faces in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames. Platform: |
Size: 964608 |
Author:nick |
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Description: 机器学习中的人脸识别程序。内含人脸库，有linux和matlab两个版本。人脸图像均为灰度图像，方便大家学习。-Machine Learning in face recognition program. Containing face database, there are two versions of linux, and matlab. Face images are grayscale images, to facilitate them to learn. Platform: |
Size: 11938816 |
Author:lyn |
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Description: 计算机人脸识别技术( Face Reocgnition)就利用计算机分析人脸图像,从中提取出有效的识别信息,用来辨认身份的一门技术。[ 1 ]即对已知人脸进行标准化处理后,通过某种方法和数据库中的人脸样本进行匹配,寻找库中对应人脸及该人脸相关信息。人脸自动识别系统有两个主要技术环节,一是人脸定位,即从输入图像中找到人脸存在的位置,将人脸从背景中分割出来,二是对标准化后的人脸图像进行特征提取和识别。本文中介绍的PCA (特征脸)方法就是一种常用的人脸
特征提取方法。-Computer Face Recognition Technology (Face Reocgnition) on the use of computer analysis of facial image, to extract the valid identification information used to identify the status of a technology. [1] that is known to standardize treatment of face, through a method and a database of face samples for matching, search library, the corresponding face and the face-related information. Automatic face recognition system has two main technical aspects, first, face location, that is, from the input image to find the location of the face there, the faces will be split out from the background, the second is, the standard features of face images extraction and recognition. Described in this paper PCA (Eigenfaces) method is a common facial feature extraction method. Platform: |
Size: 224256 |
Author:Highjoe |
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Description: 提出一种两阶段的奇异点检测方法。将指纹图像分块，求出各块的方向构成块方向图，并在块方向图的基础上利用邻域方向的分
布分析结合改进的Poincare Index方法来确定奇异点所在的候选区域，对候选区域中的像素再通过计算局部方向变化率来确定奇异点的精
确位置。将此方法用于对FVC2004 DB1_A指纹数据库的图像，实验结果表明这种方法对指纹图像中的噪声有很好的鲁棒性，并且计算简
单快速，易于实现。
-A two-phase singularity detection. Fingerprint image block, calculate the direction of each block constitute a block pattern, and pattern in the block based on the use of the distribution of the direction of the neighborhood together with the improved Poincare Index method to determine the singular point where the candidate regions of the candidate region of pixels re-calculated to determine the rate of change of local direction of the precise location of singular points. This method is used to FVC2004 DB1_A fingerprint database of images, experiments show that this method of noise on the fingerprint image has good robustness and computing simple and fast, easy to implement. Platform: |
Size: 123904 |
Author:李辉艳 |
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Description: CBIR is retrieval of images based on some query or example images. It is also called Query based image retrieval. Firstly, this report outlines a description of the primitive features of an image color and shape. These features are extracted and used as the basis for a similarity check between images. The final result is a MatLab built software application, with an image database, that utilized color and shape features of the images in the database as the basis of comparison and retrieval. Platform: |
Size: 304128 |
Author:keerthi |
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Search - database of images in matlab