Ioannis Kourouklides
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This page contains resources about [http://en.wikipedia.org/wiki/Computer_vision Computer Vision] and [http://en.wikipedia.org/wiki/Image_processing Image Processing] in general.
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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.
   
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More specific information are included in each subfield.
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More specific information is included in each subfield.
   
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==Subfields==
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==Subfields and Concepts==
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''See [http://kourouklides.wikia.com/wiki/Category:Computer_Vision Category:Computer Vision] for all its subfields.''
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''See [http://kourouklides.wikia.com/wiki/Category:Computer_Vision Category:Computer Vision] for some of its subfields.''
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* Low-level Vision
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** [[Digital Image Processing|Digital Image Processing]]
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** Feature extraction
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*** Hough Transform
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** Feature detection
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*** Edge detection
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*** Corner detection
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** Optical flow
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* Intermediate-level Vision
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** Recognition tasks
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*** Face recognition
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** Object detection
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*** Face detection
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*** Pedestrian detection
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** Image segmentation
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** 3D reconstruction
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** Motion analysis
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* High-level Vision / Image Understanding
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** [[Machine Learning]]
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* Structure from Motion
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* [[Simultaneous Localization and Mapping]] (SLAM)
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* Place and Object recognition
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** Object detection
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** Object localization
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** Object classification
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** Scene classification
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** Scene recognition
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** Semantic Scene Understanding
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* Feature descriptors
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** Scale-invariant feature transform (SIFT)
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** Speeded up robust features (SURF)
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** Histogram of oriented gradients (HOG)
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* [[Medical Imaging|Medical Image Computing / Medical Image Analysis]]
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* [[Computer Graphics]]
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** Inverse Graphics
   
 
==Online Courses==
  
==Online Courses==
 
===Video Lectures===
  
===Video Lectures===
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* [https://www.coursera.org/course/digital Fundamentals of Digital Image and Video Processing by Aggelos K. Katsaggelos] - Coursera
  
 
* [http://crcv.ucf.edu/videos/Lecture_Videos/ UCF Computer Vision by Mubarak Shah]
  
* [http://crcv.ucf.edu/videos/Lecture_Videos/ UCF Computer Vision by Mubarak Shah]
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* [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]
  
* [http://homepages.inf.ed.ac.uk/rbf/AVINVERTED/main_av.htm Advanced Vision by Bob Fisher]
   
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===Lecture Notes===
  
===Lecture Notes===
 
* [http://cs.brown.edu/courses/csci1430/ CS 143: Introduction to Computer Vision by James Hays]
  
* [http://cs.brown.edu/courses/csci1430/ CS 143: Introduction to Computer Vision by James Hays]
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* [http://vision.stanford.edu/teaching/cs223b/syllabus.html CS 223B: Introduction to Computer Vision by Fei-Fei Li]
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* [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.cse.psu.edu/~rcollins/CSE486/ Introduction to Computer Vision by Robert Collins]
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* [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://sse.tongji.edu.cn/linzhang/ComputerVision/CV.htm Computer Vision by Lin Zhang]
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* [http://groups.csail.mit.edu/vision/courses/6.869/materials.html Advances in Computer Vision by MIT]
   
 
==Books==
  
==Books==
 
===Practical===
  
===Practical===
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* 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.
  
* 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.
  
* Solem, J. E. (2012). ''Programming Computer Vision with Python: Tools and algorithms for analyzing images''. O'Reilly Media, Inc.
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* 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.
  
* 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.
  
* Hyvärinen, A., Hurri, J. & Hoyer, P. O. (2009). ''Natural Image Statistics: A Probabilistic Approach to Early Computational Vision''. Springer.
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* Ma, Y. (Ed.). (2004). ''An Invitation to 3D Vision: From Images to Geometric Models'' (Vol. 26). Springer.
   
 
==Software==
  
==Software==
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* [http://simplecv.org/ SimpleCV] - Framework using Python
  
* [http://simplecv.org/ SimpleCV] - Framework using Python
 
* [http://structure.io/openni OpenNI] - Official website was shut down by Apple Inc.
  
* [http://structure.io/openni OpenNI] - Official website was shut down by Apple Inc.
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* [http://openbiometrics.org/ OpenBR] - Open Source Biometric Recognition
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* [http://www.pointclouds.org/ PCL] - Point Cloud Library
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* [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/images/index.html Image Processing Toolbox] - MATLAB
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* [http://www.mathworks.co.uk/products/computer-vision/index.html?s_tid=brdcrb Computer Vision System Toolbox]- MATLAB
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* [http://www.mathworks.co.uk/help/vision/index.html Computer Vision System Toolbox]- MATLAB
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* [http://vxl.sourceforge.net/ VXL] - C++
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* [http://processing.org/ Processing 2] - IDE promoting software literacy within the visual arts for Computational Artitsts
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* [http://processing.org/ Processing] - IDE for Computational Artitsts promoting software literacy within the visual arts 
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==See also==
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* [[Machine Learning]]
   
 
==Other Resources==
  
==Other Resources==
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* [https://scholar.google.com/citations?view_op=top_venues&hl=en&vq=eng_computervisionpatternrecognition Computer Vision and Pattern Recognition] - Google Scholar Metrics (Top Publications)
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* [http://computervision.wikia.com/wiki/Main_Page ComputerVision wikia] - Portal on all aspects of Vision and Image Processing
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*[http://computervision.wikia.com/wiki/Main_Page ComputerVision wikia] - Portal on all aspects of Vision and Image Processing
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*[https://github.com/jbhuang0604/awesome-computer-vision Awesome-Computer-Vision (Github)] - A curated list of resources
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*[http://dweller.cvr.yorku.ca/members/gradstudents/kosta/compvis/index.html Collection of Computer Vision notes] - York University
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*[https://plus.google.com/u/0/communities/104301864201901986288 Computer Vision on Google+] - online community
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*[http://homepages.inf.ed.ac.uk/rbf/CVonline/ CVonline] - The evolving, distributed, non-proprietary, on-line compendium of Computer Vision
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*[http://semicolonproducts.blogspot.co.uk/2014/04/computer-vision-systems-in-nutshell.html Computer VIsion systems in a nutshell]
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*[https://alexgkendall.com/computer_vision/have_we_forgotten_about_geometry_in_computer_vision/ Have We Forgotten about Geometry in Computer Vision?]
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[[Category:Computer_Vision]]
  
[[Category:Computer_Vision]]

Latest revision as of 19:51, 26 April 2018

Reconstruct-3D

This page contains resources about Computer Vision, Machine Vision and Image Processing in general.

More specific information is included in each subfield.

Subfields and Concepts[]

See Category:Computer Vision for some of its subfields.

  • Low-level Vision
    • 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
  • 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 Image Computing / Medical Image Analysis
  • Computer Graphics
    • Inverse Graphics

Online Courses[]

Video Lectures[]


Lecture Notes[]

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[]

See also[]

Other Resources[]

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