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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. |
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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==Subfields== |
==Subfields== |
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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. |
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* 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). |
+ | * Ma, Y. (Ed.). (2004). ''An Invitation to 3D Vision: From Images to Geometric Models'' (Vol. 26). Springer. |
==Software== |
==Software== |
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Revision as of 06:05, 19 May 2014
This page contains resources about Computer Vision and Image Processing in general.
More specific information is included in each subfield.
Subfields
See Category:Computer Vision for all its subfields.
Online Courses
Video Lectures
- Fundamentals of Digital Image and Video Processing by Aggelos K. Katsaggelos - Coursera
- UCF Computer Vision by Mubarak Shah
- Advanced Vision by Bob Fisher
Lecture Notes
- CS 143: Introduction to Computer Vision by James Hays
- CS 223B: Introduction to Computer Vision by Fei-Fei Li
- CSE576: Computer Vision by Linda Shapiro
- Introduction to Computer Vision by Robert Collins
- Computer Vision by John Daugman
- Computer Vision by Lin Zhang
- Advances in Computer Vision by MIT
Books
Practical
- 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
- OpenCV - C++, C, Python and Java interfaces that support Windows, Linux, Mac OS, iOS and Android
- SimpleCV - Framework using Python
- OpenNI - Official website was shut down by Apple Inc.
- Image Processing Toolbox - MATLAB
- Computer Vision System Toolbox- MATLAB
- Processing 2 - IDE for Computational Artitsts promoting software literacy within the visual arts
Other Resources
- ComputerVision wikia - Portal on all aspects of Vision and Image Processing