搜索资源列表
sltoolbox_r101
- sltoolbox (Statistical Learning Toolbox) organizes a comprehensive set of matlab codes in statistical learning, pattern recognition and computer vision. It includes 256 m-files in 24 categories, which are from low-level computational routines to high
Emerging.Topics.in.Computer.Vision
- 深入浅出介绍计算机视觉的最新动态。内容包括： * Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration * Extracting camera motion and scene structure from image sequences * Robust regression for model fitting using M-estimators, RANSAC, and
VisualPCPP_MATLAB
- Visual+C++_MATLAB图像处理与识别实用案例精选，内有很多matlab的m文件，matlab处理图像的各种方法-Visual+ C++ _MATLAB image processing and recognition of the practical case selection, there are a lot of matlab m-files, matlab image processing a variety of methods
Pattern_Recognition_by_Moment_Invariant
- .M.K.Hu.发表的关于不变矩的著名文章Pattern Recognition by Moment Invariant,用校园网通过IEEE.Xplore下载，比较珍贵 -. MKHu. Published about the same moment a well-known article Pattern Recognition by Moment Invariant, Netcom had used the campus IEEE.Xplore download compare preci
dcpr
- matalabd编写的模式识别和聚类源文件，实现了常用大部分聚类方法-prepared matalabd Pattern Recognition and Clustering
opencv
- 本翻译是直接根据 OpenCV Beta 4.0 版本的用户手册翻 译的，原文件是： <opencv_directory>/doc/ref/opencvref_cv.htm, 可 以从 SOURCEFORG 上面的 OpenCV 项目下载，也可以直 接从 阿须数码 中下载： http://www.assuredigit.com/incoming/sourcecode/o pencv/chinese_docs/ref/opencvref_cv.htm。 翻译
hu_moments
- 不变矩特征是很好的全局特征，适合初学者选来作为形状识别-Invariant moment is a good global features for beginners as shape recognition election
fdp5finalMatlab.tar
- 这是一个使用了Gabor特征提取和人工智能的人脸检测系统源代码 使用步骤： 1. 拷贝所有文件到MATLAB工作目录下(确认已经安装了图像处理工具箱和人工智能工具箱) 2. 找到"main.m"文件 3. 命令行中运行它 4. 点击"Train Network"，等待程序训练好样本 5. 点击"Test on Photos"，选择一个.jpg图片，识别。 6. 等待程序检测出人脸区域 createffnn.m, d
zernike
- 从一个模式识别toolbox摘取的计算zernike不编矩的源代码 结果为图像的n阶m重zernike不变矩-Removal of a pattern recognition toolbox from the calculation of moments zernike source code is not compiled the results of the n-order m for the re-image the same moment zernike
STLBP_Matlab
- Zhao G & Pietik?inen M (2007) Dynamic texture recognition using local binary patterns with an application to facial expressions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(6):915-928. 文中的代码-Spatio-temporal LBP: VLBP and LB
MATLAB_faceRecognition
- MATLAB人脸识别,运行TEST.m文件看效果就可以了，完成的功能就是识别人脸并标记起来。-MATLAB+human face recognition,run TEST.m to show the performance,To be sure that images in the images file are in the same size,
10721582R1
- 采用稀疏表示能够实现N类M个人脸的正常识别-Using sparse representation can be achieved Class N M individual normal face recognition
Untitled1
- 这是用MATLAB识别车牌图像的完整程序和文件资料,包含大量图片和完整的M文件-This is a complete image using MATLAB license plate recognition program and documentation, including a lot of pictures and a complete M-file
Human-Motion-Tracking
- 一个人体运动识别跟踪的示例程序，里面附带了一个运动视频，运行run.m文件。程序里包含了轮廓提取，跟踪算法，很好的tracking学习程序-A human motion recognition tracking sample program, which comes with a sports video, to run run.m file. The program includes a contour extraction and tracking algorithm, good track
toolbox
- 一个采用matlab GUI界面设计的工具盒，根据《冈萨雷斯数字图像处理》内含整体界面，通过不同的界面启动对应章节的程序，打开这个程序分别有各章节的滤波，图像处理，身份证数字切割识别等功能,运行时请打开：matlabtoolbox.m-One using matlab GUI interface design tool box, under " Gonzalez Digital Image Processing" includes the whole interface, th
log_gabor_mag.m
- Log函数与Gaobr滤波器相结合的图像识别算法，对图像的实部和需部分别进行了分析运算。-Log function and the image recognition algorithm Gaobr filter combining the real part and the part of the image to be analyzed individually for the operation.
ALPR-Plate-Recognition
- 关于车牌识别系统的由一个M语言写成的，在自己的电脑上调试过可是运行的。-About the license plate recognition system by a M language, and tried to increase their own computers, but runs.
express-recognition-
- 用ksvd字典学习进行表情识别，程序完整，可以运行-Use a dictionary to learn KSVD expression recognition, program integrity, you can run, the main function of KSVDmain.m
code-faceGUI.m
- 图形界面的人脸识别代码，PCA+SVM多分类，yale图片库-Face recognition codes in GUI, PCA+SVM multi-classification, yale gallery
image recognition
- 分别采用有边缘和无边缘两类图像作为样本库，使用用Hu不变矩对图像进行特征提取，并使用K近邻分类法进行分类和识别。(Two types of images with edges and no edges are used as the sample library, the images are extracted using Hu invariant moments, and the images are classified and identified by K nearest neighb