Editing Computer Vision

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This page contains resources about [http://en.wikipedia.org/wiki/Computer_vision Computer Vision], '''Machine Vision''' and [http://en.wikipedia.org/wiki/Image_processing Image Processing] in general.

More specific information is included in each subfield.

==Subfields and Concepts==
''See [http://kourouklides.wikia.com/wiki/Category:Computer_Vision Category:Computer Vision] for some of its subfields.''
* Low-level Vision
** [[Digital Image Processing|Digital Image Processing]]
** Feature extraction
*** Hough Transform
** Feature detection
*** Edge detection
*** Corner detection
** Optical flow
* Intermediate-level Vision
** Recognition tasks
*** Face recognition
** Object detection
*** Face detection
*** Pedestrian detection
** Image segmentation
** 3D reconstruction
** Motion analysis
* High-level Vision / Image Understanding
** [[Machine Learning]]
* Structure from Motion
* [[Simultaneous Localization and Mapping]] (SLAM)
* Place and Object recognition
** Object detection
** Object localization
** Object classification
** Scene classification
** Scene recognition
** Semantic Scene Understanding
* Feature descriptors
** Scale-invariant feature transform (SIFT)
** Speeded up robust features (SURF)
** Histogram of oriented gradients (HOG)
* [[Medical Imaging|Medical Image Computing / Medical Image Analysis]]
* [[Computer Graphics]]
** Inverse Graphics

==Online Courses==
===Video Lectures===
* [http://crcv.ucf.edu/videos/Lecture_Videos/ UCF Computer Vision by Mubarak Shah]
* [https://www.coursera.org/course/images Image and video processing by Guillermo Sapiro] ([https://www.youtube.com/watch?v=bxhJEe38bhY&list=PLZ9qNFMHZ-A79y1StvUUqgyL-O0fZh2rs Youtube] )
* [http://homepages.inf.ed.ac.uk/rbf/AVINVERTED/main_av.htm Advanced Vision by Bob Fisher]


===Lecture Notes===
* [http://cs.brown.edu/courses/csci1430/ CS 143: Introduction to Computer Vision by James Hays]
* [http://vision.stanford.edu/teaching/cs223b/syllabus.html CS 223B: Introduction to Computer Vision by Fei-Fei Li]
* [https://courses.cs.washington.edu/courses/cse576/04sp/notes.html CSE576: Computer Vision by Linda Shapiro]
* [http://www.cse.psu.edu/~rcollins/CSE486/ Introduction to Computer Vision by Robert Collins]
* [http://www.cl.cam.ac.uk/teaching/0809/CompVision/ Computer Vision by John Daugman]
* [http://sse.tongji.edu.cn/linzhang/ComputerVision/CV.htm Computer Vision by Lin Zhang]
* [http://groups.csail.mit.edu/vision/courses/6.869/materials.html Advances in Computer Vision by MIT]

==Books==
===Practical===
* Howse, J. (2013). ''OpenCV Computer Vision with Python''. Packt Publishing Ltd.
* Demaagd, K., Oliver, A., Oostendorp, N., & Scott, K. (2012). ''Practical Computer Vision with SimpleCV: The Simple Way to Make Technology See''. O'Reilly Media, Inc.
* Solem, J. E. (2012). ''Programming Computer Vision with Python: Tools and algorithms for analyzing images''. O'Reilly Media, Inc.
* Bradski, G., & Kaehler, A. (2008). ''Learning OpenCV: Computer Vision with the OpenCV Library''. O'Reilly Media, Inc.

===Introductory===
* Szeliski, R. (2010). ''Computer Vision: Algorithms and Applications''. Springer.
* Zisserman, A., & Hartley, R. (2004). ''Multiple View Geometry in Computer Vision''. Cambridge University Press.
* Forsyth, D. A., & Ponce, J. (2002). ''Computer Vision: A Modern Approach''. Prentice Hall.

===Advanced===
* Jahne, B., Geissler, P., & Haussecker, H. (1999). ''Handbook of Computer Vision and Applications with CD-ROM''. Morgan Kaufmann Publishers Inc.

===Specialized===
* Prince, S. J. D. (2012). ''Computer Vision: Models, Learning, and Inference''. Cambridge University Press.
* Nowozin, S., & Lampert, C. H. (2011). ''Structured Prediction and Learning in Computer Vision''. Foundations and Trends in Computer Graphics and Vision, 6(3-4), 3-4.
* Hyvärinen, A., Hurri, J. & Hoyer, P. O. (2009). ''Natural Image Statistics: A Probabilistic Approach to Early Computational Vision''. Springer.
* Ma, Y. (Ed.). (2004). ''An Invitation to 3D Vision: From Images to Geometric Models'' (Vol. 26). Springer.

==Software==
* [http://opencv.org/ OpenCV] - C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android
* [http://simplecv.org/ SimpleCV] - Framework using Python
* [http://structure.io/openni OpenNI] - Official website was shut down by Apple Inc.
* [http://openbiometrics.org/ OpenBR] - Open Source Biometric Recognition
* [http://www.pointclouds.org/ PCL] - Point Cloud Library
* [http://www.iclcv.org/ ICL] - Image Component Library
* [http://www.mathworks.co.uk/help/images/index.html Image Processing Toolbox] - MATLAB
* [http://www.mathworks.co.uk/help/vision/index.html Computer Vision System Toolbox]- MATLAB
* [http://vxl.sourceforge.net/ VXL] - C++
* [http://processing.org/ Processing] - IDE for Computational Artitsts promoting software literacy within the visual arts 

==See also==
* [[Machine Learning]]

==Other Resources==
* [https://scholar.google.com/citations?view_op=top_venues&hl=en&vq=eng_computervisionpatternrecognition Computer Vision and Pattern Recognition] - Google Scholar Metrics (Top Publications)
*[http://computervision.wikia.com/wiki/Main_Page ComputerVision wikia] - Portal on all aspects of Vision and Image Processing
*[https://github.com/jbhuang0604/awesome-computer-vision Awesome-Computer-Vision (Github)] - A curated list of resources
*[http://dweller.cvr.yorku.ca/members/gradstudents/kosta/compvis/index.html Collection of Computer Vision notes] - York University
*[https://plus.google.com/u/0/communities/104301864201901986288 Computer Vision on Google+] - online community
*[http://homepages.inf.ed.ac.uk/rbf/CVonline/ CVonline] - The evolving, distributed, non-proprietary, on-line compendium of Computer Vision
*[http://semicolonproducts.blogspot.co.uk/2014/04/computer-vision-systems-in-nutshell.html Computer VIsion systems in a nutshell]
*[https://alexgkendall.com/computer_vision/have_we_forgotten_about_geometry_in_computer_vision/ Have We Forgotten about Geometry in Computer Vision?]

[[Category:Computer_Vision]]