数据融合matlab代码-ComputerVision:计算机视觉

# Awesome Computer Vision: [](https://github.com/sindresorhus/awesome) A curated list of awesome computer vision resources, inspired by [awesome-php](https://github.com/ziadoz/awesome-php). For a list people in computer vision listed with their academic genealogy, please visit [here](https://github.com/jbhuang0604/awesome-computer-vision/blob/master/people.md) ## Contributing Please feel free to send me [pull requests](https://github.com/jbhuang0604/awesome-computer-vision/pulls) or email (jbhuang1@illinois.edu) to add links. ## Table of Contents - [Books](#books) - [Courses](#courses) - [Papers](#papers) - [Software](#software) - [Datasets](#datasets) - [Tutorials and Talks](#tutorials-and-talks) - [Resources for students](#resources-for-students) - [Blogs](#blogs) - [Links](#links) - [Songs](#songs) ## Books #### Computer Vision * [Computer Vision: Models, Learning, and Inference](http://www.computervisionmodels.com/) - Simon J. D. Prince 2012 * [Computer Vision: Theory and Application](http://szeliski.org/Book/) - Rick Szeliski 2010 * [Computer Vision: A Modern Approach (2nd edition)](http://www.amazon.com/Computer-Vision-Modern-Approach-2nd/dp/013608592X/ref=dp_ob_title_bk) - David Forsyth and Jean Ponce 2011 * [Multiple View Geometry in Computer Vision](http://www.robots.ox.ac.uk/~vgg/hzbook/) - Richard Hartley and Andrew Zisserman 2004 * [Computer Vision](http://www.amazon.com/Computer-Vision-Linda-G-Shapiro/dp/0130307963) - Linda G. Shapiro 2001 * [Vision Science: Photons to Phenomenology](http://www.amazon.com/Vision-Science-Phenomenology-Stephen-Palmer/dp/0262161834/) - Stephen E. Palmer 1999 * [Visual Object Recognition synthesis lecture](http://www.morganclaypool.com/doi/abs/10.2200/S00332ED1V01Y201103AIM011) - Kristen Grauman and Bastian Leibe 2011 * [Computer Vision for Visual Effects](http://cvfxbook.com/) - Richard J. Radke, 2012 * [High dynamic range imaging: acquisition, display, and image-based lighting](http://www.amazon.com/High-Dynamic-Range-Imaging-Second/dp/012374914X) - Reinhard, E., Heidrich, W., Debevec, P., Pattanaik, S., Ward, G., Myszkowski, K 2010 * [Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics](https://people.csail.mit.edu/jsolomon/share/book/numerical_book.pdf) - Justin Solomon 2015 #### OpenCV Programming * [Learning OpenCV: Computer Vision with the OpenCV Library](http://www.amazon.com/Learning-OpenCV-Computer-Vision-Library/dp/0596516134) - Gary Bradski and Adrian Kaehler * [Practical Python and OpenCV](https://www.pyimagesearch.com/practical-python-opencv/) - Adrian Rosebrock * [OpenCV Essentials](http://www.amazon.com/OpenCV-Essentials-Oscar-Deniz-Suarez/dp/1783984244/ref=sr_1_1?s=books&ie=UTF8&qid=1424594237&sr=1-1&keywords=opencv+essentials#) - Oscar Deniz Suarez, Mª del Milagro Fernandez Carrobles, Noelia Vallez Enano, Gloria Bueno Garcia, Ismael Serrano Gracia #### Machine Learning * [Pattern Recognition and Machine Learning](http://research.microsoft.com/en-us/um/people/cmbishop/prml/index.htm) - Christopher M. Bishop 2007 * [Neural Networks for Pattern Recognition](http://www.engineering.upm.ro/master-ie/sacpi/mat_did/info068/docum/Neural%20Networks%20for%20Pattern%20Recognition.pdf) - Christopher M. Bishop 1995 * [Probabilistic Graphical Models: Principles and Techniques](http://pgm.stanford.edu/) - Daphne Koller and Nir Friedman 2009 * [Pattern Classification](http://www.amazon.com/Pattern-Classification-2nd-Richard-Duda/dp/0471056693) - Peter E. Hart, David G. Stork, and Richard O. Duda 2000 * [Machine Learning](http://www.amazon.com/Machine-Learning-Tom-M-Mitchell/dp/0070428077/) - Tom M. Mitchell 1997 * [Gaussian processes for machine learning](http://www.gaussianprocess.org/gpml/) - Carl Edward Rasmussen and Christopher K. I. Williams 2005 * [Learning From Data](https://work.caltech.edu/telecourse.html)- Yaser S. Abu-Mostafa, Malik Magdon-Ismail and Hsuan-Tien Lin 2012 * [Neural Networks and Deep Learning](http://neuralnetworksanddeeplearning.com/) - Michael Nielsen 2014 * [Bayesian Reasoning and Machine Learning](http://www.cs.ucl.ac.uk/staff/d.barber/brml/) - David Barber, Cambridge University Press, 2012 #### Fundamentals * [Linear Algebra and Its Applications](http://www.amazon.com/Linear-Algebra-Its-Applications-4th/dp/0030105676/ref=sr_1_4?ie=UTF8&qid=1421433773&sr=8-4&keywords=Linear+Algebra+and+Its+Applications) - Gilbert Strang 1995 ## Courses #### Computer Vision * [EENG 512 / CSCI 512 - Computer Vision](http://inside.mines.edu/~whoff/courses/EENG512/) - William Hoff (Colorado School of Mines) * [Visual Object and Activity Recognition](https://sites.google.com/site/ucbcs29443/) - Alexei A. Efros and Trevor Darrell (UC Berkeley) * [Computer Vision](http://courses.cs.washington.edu/courses/cse455/12wi/) - Steve Seitz (University of Washington) * Visual Recognition [Spring 2016](http://vision.cs.utexas.edu/381V-spring2016/), [Fall 2016](http://vision.cs.utexas.edu/381V-fall2016/) - Kristen Grauman (UT Austin) * [Language and Vision](http://www.tamaraberg.com/teaching/Spring_15/) - Tamara Berg (UNC Chapel Hill) * [Convolutional Neural Networks for Visual Recognition](http://vision.stanford.edu/teaching/cs231n/) - Fei-Fei Li and Andrej Karpathy (Stanford University) * [Computer Vision](http://cs.nyu.edu/~fergus/teaching/vision/index.html) - Rob Fergus (NYU) * [Computer Vision](https://courses.engr.illinois.edu/cs543/sp2015/) - Derek Hoiem (UIUC) * [Computer Vision: Foundations and Applications](http://vision.stanford.edu/teaching/cs131_fall1415/index.html) - Kalanit Grill-Spector and Fei-Fei Li (Stanford University) * [High-Level Vision: Behaviors, Neurons and Computational Models](http://vision.stanford.edu/teaching/cs431_spring1314/) - Fei-Fei Li (Stanford University) * [Advances in Computer Vision](http://6.869.csail.mit.edu/fa15/) - Antonio Torralba and Bill Freeman (MIT) * [Computer Vision](http://www.vision.rwth-aachen.de/course/11/) - Bastian Leibe (RWTH Aachen University) * [Computer Vision 2](http://www.vision.rwth-aachen.de/course/9/) - Bastian Leibe (RWTH Aachen University) * [Computer Vision](http://klewel.com/conferences/epfl-computer-vision/) Pascal Fua (EPFL): * [Computer Vision 1](http://cvlab-dresden.de/courses/computer-vision-1/) Carsten Rother (TU Dresden): * [Computer Vision 2](http://cvlab-dresden.de/courses/CV2/) Carsten Rother (TU Dresden): * [Multiple View Geometry](https://youtu.be/RDkwklFGMfo?list=PLTBdjV_4f-EJn6udZ34tht9EVIW7lbeo4) Daniel Cremers (TU Munich): #### Computational Photography * [Image Manipulation and Computational Photography](http://inst.eecs.berkeley.edu/~cs194-26/fa14/) - Alexei A. Efros (UC Berkeley) * [Computational Photography](http://graphics.cs.cmu.edu/courses/15-463/2012_fall/463.html) - Alexei A. Efros (CMU) * [Computational Photography](https://courses.engr.illinois.edu/cs498dh3/) - Derek Hoiem (UIUC) * [Computational Photography](http://cs.brown.edu/courses/csci1290/) - James Hays (Brown University) * [Digital & Computational Photography](http://stellar.mit.edu/S/course/6/sp12/6.815/) - Fredo Durand (MIT) * [Computational Camera and Photography](http://ocw.mit.edu/courses/media-arts-and-sciences/mas-531-computational-camera-and-photography-fall-2009/) - Ramesh Raskar (MIT Media Lab) * [Computational Photography](https://www.udacity.com/course/computational-photography--ud955) - Irfan Essa (Georgia Tech) * [Courses in Graphics](http://graphics.stanford.edu/courses/) - Stanford University * [Computational Photography](http://cs.nyu.edu/~fergus/teaching/comp_photo/index.html) - Rob Fergus (NYU) * [Introduction to Visual Computing](http://www.cs.toronto.edu/~kyros/courses/320/) - Kyros Kutulakos (University of Toronto) * [Computational Photography](http://www.cs.toronto.edu/~kyros/courses/2530/) - Kyros Kutulakos (University of Toronto) * [Computer Vision