Computer Vision resources organized by uiuc Jia-bin Huang (3 )........... Continuous update

From: http://www.bfcat.com /? Page_id = 268 this page will be updated occasionally, with as many computer vision databases and program resources as possible. Since the program summarized by uiuc Jia-bin Huang has been very comprehensive, I will not post it unless it is particularly recommended. Latest Update: 2013.03.26

Temple University
Some data and programs summarized by Haibin Ling

Database

Saliency Database: a significance detection database with eye movement data

CMU-video dataset for occlusion/Object Boundary Detection

Microsoft-foreground and background database

Middlebury stereo vision, Optical Flow Database, currently the most popular evaluation criteria

Another CMU video database, but many are not labeled

York University database summary page

Brown University video database

Ethz Bastian leibe Target Detection Database

Microsoft Cambridge Research Institute: Kinect pose recognition database

Graphanalysistoolbox: A graph analysis database developed by the University of Boston. Relatively old, but there are many practical functions

(Download from the source address is invalid)

The target tracking database of Munich University of Science and Technology was used for the first time in their article eccv2012.

Qmul pedestrian recognition database for underground scenarios

Tree Structure Reconstruction Database

Program

The Program Summary page of uiuc Jia-bin Huang with rich content

Some data and programs summarized by Temple University Haibin Ling

Graph-based significance (nips2006)

Shape from defocus

Multi-view geometric MATLAB assembly of Andrew zisserman

Peter kovesi's MATLAB assembly for image processing, mainly including MATLAB implementation of some basic algorithms

Cvpr2012 best Open Source Award for the implementation of multiple libsvx Video Segmentation

Early event detector project page (code available on website)

Sample programs for decision Forest

Saliency filter: A significant quick implementation of cvpr2012 (version re-implemented by the second author)

Mexico opencv: enables MATLAB to use opencv

Three codes that can be used in the assisted Driving System: feature point matching, line segment, and disappear Point Detection

Shai bagon's Matlab code (Weizmann lab in Israel)

Kaze feature description

Tutorial document

Andrew Moore's tutorial series on Statistics and Data Mining

Random forests (random forest)