Participate in Reproducible Research General Image Processing OpenCV (C/C++ code, BSD lic) Image manipulation, matrix manipulation, transforms Torch3Vision (C/C++ code, BSD lic) Basic image processing, matrix manipulation and feature extraction algor…

Computer Vision Resources Softwares Topic Resources References Feature Extraction SIFT [1] [Demo program][SIFT Library] [VLFeat] PCA-SIFT [2] [Project] Affine-SIFT [3] [Project] SURF [4] [OpenSURF] [Matlab Wrapper] Affine Covariant Features [5] [Oxfo…

To add links (PDF, project,...) you can use the online tool. Computer Vision Paper Indexes ICCV:  2015, 2013, 2011,2009, 2007 CVPR: 2015 available on CVPR website, 2014, 2013,2012, 2011, 2010, 2009, 2008, 2007 ECCV: 2014, 2012, 2010, 2008, 2006 ACCV:…

持续更新ing~ all *.files come from the author:http://www.cnblogs.com/findumars/p/5009003.html 1 牛人Homepages(随意排序,不分先后): 1.USC Computer Vision Group:南加大,多目标跟踪/检测等: 2.ETHZ Computer Vision Laboratory:苏黎世联邦理工学院,欧洲最好的几个CV/ML研究机构: 3.Helmut Grabner:Online Boost…

The picture above is funny. But for me it is also one of those examples that make me sad about the outlook for AI and for Computer Vision. What would it take for a computer to understand this image as you or I do? I challenge you to think explicitly…

Capel, David, and Andrew Zisserman. "Computer vision applied to super resolution." Signal Processing Magazine, IEEE 20, no. 3 (2003): 75-86. 简介 超分辨率重建的目的是使用一组低分辨率的图像来估计一副高分辨率图像.重建主要通过两个步骤来完成:配准低分辨率的图片组到一个公共的坐标系,然后使用图像的生成模型(generative image model…

CVPR 2013 (http://www.pamitc.org/cvpr13/tutorials.php) Foundations of Spatial SpectroscopyJames Coggins (ViaSat)https://sites.google.com/site/spatialspectroscopy/pdf file not found, see talk videos here:http://techtalks.tv/events/315/599/ Large-scale…

本博客汇总了个人在学习过程中所看过的一些论文.代码.资料以及常用的资源与网站,为了便于记录自身的学习过程,将其整理于博客之中. Machine Learning (1) Machine Learning Video Library - Caltech说明:罗列了机器学习的常用算法以及机器学习图谱 (2) Deep Learning - Bengio 说明:Deep Learning三大牛之一Bengio写的一本书 (3) Understanding LSTM Networks 说明:非常棒的LS…

From:http://rogerioferis.com/VisualRecognitionAndSearch2014/Resources.html Source Code Non-exhaustive list of state-of-the-art implementations related to visual recognition and search. There is no warranty for the source code links below – use them a…

积累记录一些视觉实验室,方便查找 1.  多伦多大学计算机科学系 2.  普林斯顿大学计算机视觉和机器人实验室 3.  牛津大学Torr Vision Group 4.  伯克利视觉和学习中心 Prof. Trevor Darrell CS280 Computer Vision Object Detection and Segmentation for RGB-D Images 5. Carnegie Mellon University(CMU) Compoter Vision Group Kr…