Welcome![Sign In][Sign Up]
Location:
Search - Face Features matlab code

Search list

[Graph RecognizeSpPCA

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 | Hits:

[Graph programeigface

Description: 基于ORL人脸库的人脸识别的特征人脸的提取源代码。-Based on the ORL face database for face recognition facial features extraction source code.
Platform: | Size: 4096 | Author: yuzhun21 | Hits:

[matlabface_feature_detect

Description: 2D及3D人脸影像特征侦测研究,报告中附有完整的matlab 源码。-Features extraction from 2D and 3D face images. The rar file include pdf document and matlab code description.
Platform: | Size: 910336 | Author: Vlog | Hits:

[matlabCODE

Description: 1.GeometricContext文件是完成图片中几何方向目标分类。 参考文献《Automatic Photo Pop-up》Hoiem 2005 2 GrabCut文件是完成图像中目标交互式分割 参考文献《“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts》 C. Rother 2004 3 HOG文件是自己编写的根据HOG特征检测行人的matlab代码 4 虹膜识别程序是下载的一个通用的虹膜识别程序,可以运行 5 GML_AdaBoost_Matlab_Toolbox是一个很好用的adaboost matlab工具箱 6 libsvm-mat-2.91-1 是用C编写的改进的SVM程序,代码质量很高,提供了matlab接口 7 SIFT_Matlab 是编写的利用sift特征进行的宽基线匹配,代码质量高 8 FLDfisher 是利用fisher 线性降维方法进行人脸识别-1.GeometricContext file is complete the picture in the geometric direction of target classification. References " Automatic Photo Pop-up" Hoiem 2005 2 GrabCut the target file is an interactive segmentation of image reference " " GrabCut " - Interactive Foreground Extraction using Iterated Graph Cuts" C. Rother 2004 3 HOG documents prepared under their own HOG Characteristics of pedestrian detection matlab code 4 iris recognition process is to download a general iris recognition program, you can run 5 GML_AdaBoost_Matlab_Toolbox is a good use of adaboost matlab toolbox 6 libsvm-mat-2.91-1 is written in C to improve the SVM procedures, code of high quality, provides a matlab interface to 7 SIFT_Matlab is prepared for the use of sift features a wide baseline matching, the code is the use of high quality 8 FLDfisher fisher linear dimension reduction method for face recognition
Platform: | Size: 6918144 | Author: 张数 | Hits:

[ELanguagecodes-matlab

Description: this codes is Source code for face detection of viola paper.of its Features is: Feature Computation: The “Integral” image representation Feature Selection: The AdaBoost training algorithm . Real-timeliness: A cascade of classifiers.-this codes is Source code for face detection of viola paper.of its Features is: Feature Computation: The “Integral” image representation Feature Selection: The AdaBoost training algorithm . Real-timeliness: A cascade of classifiers.
Platform: | Size: 420864 | Author: fatemeh | Hits:

[Special Effects程序

Description: PIVlab - 时间分辨粒子图像测速(PIV)工具: 一种基于GUI的工具,用于预处理,分析,验证,后处理,可视化和模拟PIV数据。 使用MATLAB网络研讨会进行人脸识别代码: 使用MATLAB在线讲座的人脸识别中的主要演示文件。 Gabor特征提取: 该程序生成一个自定义Gabor滤波器组; 并使用它们提取图像特征。 主成分分析: 用于特征提取; 链码: 基于MATLAB的freeman的曲面轮廓描述(PIVlab - time resolved particle image velocimetry (PIV) tool: A GUI based tool for preprocessing, analysis, validation, post processing, visualization, and Simulation of PIV data. Using MATLAB webinar for face recognition code: The main demo file is used in MATLAB online lectures for face recognition. Gabor feature extraction: The program generates a custom Gabor filter bank and uses them to extract image features. Principal component analysis: For feature extraction; Chain code: Surface contour description of Freeman based on MATLAB)
Platform: | Size: 8155136 | Author: long1219 | Hits:

CodeBus www.codebus.net