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CVPR_guider
- 里面介绍了机器视觉的学习相关网站，由低到高，适合参考-Which introduced the study of machine vision-related sites, from low to high, suitable for reference
ZhouCVPR2010
- CVPR2010的一篇很牛的文章，通过在相机前段加一个滤镜，可以达到单幅图毫米级的深度估计-CVPR2010 very cattle in an article, by adding a filter preceding the camera can achieve a Single Figure millimeter depth estimation
ssim-1.1
- Implementation of the Self Similarity descr iptor based on the paper: Matching Local Self-Similarities across Images and Videos, Eli Shechtman and Michal Irani CVPR 07-Implementation of the Self Similarity descr ipto
voc-release2
- 这个matlab程序实现了基于一种采用判别方法训练的多尺度和可变形的物体检测模型的目标检测算法，算法可参考如下两篇论文 -[1] P. Felzenszwalb, D. McAllester, D. Ramanan A Discriminatively Trained, Multiscale, Deformable Part Model Proceedings of the IEEE CVPR 2008 [2] P.
HumanAgeEstimationUsingBio-inspiredFeatures
- 这个为2009年CVPR的文章，文章标题为Human Age Estimation Using Bio-inspired Features，也就是人脸年纪的识别，大家可以学习一下-This article CVPR, 2009, article entitled Human Age Estimation Using Bio-inspired Features, that is, with the identification of hu
objectdet20070707
- cvpr07年 对象检测代码 hog+svm，压缩包里含有行人，车辆等分类器，可以直接检测-cvpr07 on object identification code hog+ svm, compression bag with pedestrians, vehicles and other classifiers
LBF_v0.1
- 关于图像边缘检测中主动轮廓模型的一个算法- This Matlab file demomstrates a level set algorithm based on Chunming Li et al s paper: "Implicit Active Contours Driven By Local Binary Fitting Energy" in Proceedings of CVPR 07
Classifying_Video_with_Kernel_Dynamic_Textures_CVP
- 顶级会议CVPR上发表的基于动态纹理的视频分类的论文，提出了基于核函数的方法，具有很高的参考价值。-Published in top-level meeting CVPR video classification based on dynamic texture paper, presented a method based on kernel function, has high reference value.
paper
- 这是近几年计算机视觉领域的顶级会议 iccv和cvpr的关于图像跟踪的论文目录 对于涵如烟海的论文 这个目录能帮你更好的入门-This is the field of computer vision in recent years, the top conference iccv and cvpr papers on image tracking sea smoke catalog essay for the culvert this
cvpr10matting
- 这是2010年在CVPR上发表的关于图像抠图的算法，可以用来做抠图、图像去雾，并且提出了一种优化算法。-This is 2010, published in the CVPR algorithm on image matting can be used to make matting, image to the fog, and proposed an optimization algorithm.
CVPR09-ScSPM
- 基于稀疏编码和线性塔式匹配的图像分类算法。-This package contains the Matlab codes implementing the ScSPM algorithm described in CVPR 09 paper "Linear Spatial Pyramid Matching using Sparse Coding for Image Classification".
CVPR10-LLC
- 该matlab源码描述了基于局部受限线性编码的图像分类算法-This is an example code for the algorithm described in "Locality-constrained Linear Coding for Image Classification", CVPR 2010.
robust
- 鲁棒的阿尔法扩展Pn势场实现，c/c++，很经典，找了很久。-This software library implements the alpha expansion for robust P^N potentials described in P. Kohli, L. Ladicky, and P. Torr. Graph cuts for minimizing robust higher order potentials.
cvpr08_testset.tar
- ere is the subset of LabelMe used in the paper: Tomasz Malisiewicz, Alexei A. Efros. Recognition by Association via Learning Per-exemplar Distances. In CVPR, June 2008. Several things to note: 0.)The
ESC-1_0
- CVPR2010文献：An Efficient Divide-and-Conquer Cascade for Nonlinear Object Detection的源代码-CVPR 2010 paper An Efficient Divide-and-Conquer Cascade for Nonlinear Object Detection source code.
Optimal-Estimation-of-Dynamic-System
- 经典最优统计的书，涉及到很多图像处理的方法，可以一读-09 CVPR article on the code to the fog, the classic image processing methods, you can change image to see different results.
Viola_Jones-Framework
- viola jones 人脸识别，人体检测框架的两篇文章，一篇英文CVPR，一篇为中文介绍-viola jones face recognition, human detection fr a mework of the two articles, one in English CVPR, an introduction to Chinese
fragtrack_console_app
- 遮挡情况下最稳定有效的物体跟踪算法 fragtracker -- adam, cvpr 06-The most stable and effective under occlusion in object tracking algorithm fragtracker- adam, cvpr 06
TextureToolBox
- WINDOWS操作系统下MATLAB图像处理工具箱，非常好用-Matlab demo-Image processing toolbox - Texture Segmentation Using Texture Filte (entropyfilt) - color-Based Segmentation Using K-Means Clustering Vgg-matlab Zisserman: Te
NarrowBand_DLL
- This Matlab file demomstrates a narrow band algorithm that implements the level set method in Li et al s paper "Level Set Evolution Without Re-initialization: A New Variational Formulation" in Proceedings of CVPR 0