Computational Photography class on Coursera  

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Castillonis
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Computational Photography class on Coursera

by Castillonis » Tue Mar 26, 2013 7:47 am

Some of you may be interested in the Coursera.org "Introduction to Computational Photography" class that is being taught by Irfan Essa who is a Professor at Georgia Institute of Technology.
https://www.coursera.org/course/compphoto

The first few lectures are taught at a slower pace and may irritate you. You can watch the videos lectures at a faster speed such as 1.25x ( about the right speed ). He will use the Python programming language and OpenCV to make the course more accessible to people without a programming background.

You can learn about Python programming at
http://www.learnpython.org/
https://www.udacity.com/courses

You can review some basic linear algebra, vectors, or simple diferential calculus using the Khan Academy videos.
http://www.khanacademy.org/
Last edited by Castillonis on Wed Mar 27, 2013 3:23 am, edited 1 time in total.

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Castillonis
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by Castillonis » Sun Mar 31, 2013 11:06 am

Module 3 of the Coursera class will cover Image Analysis, Panoramas, HDR and tone mapping.

There is an inexpensive book Programming Computer Vision with Python that was written by Jan Erik Solem. Chapters two and three cover SIFT, SURF, Affine transformation, RANSAC, image matching and stitching.

Jan Erik Solem's final draft
http://programmingcomputervision.com/

Github
https://github.com/jesolem/PCV

Paperback from Amazon
http://www.amazon.com/Programming-Computer-Vision-Python-algorithms/dp/1449316549/ref=sr_1_1?ie=UTF8&qid=1364724318&sr=8-1&keywords=computer+vision+with+python
Last edited by Castillonis on Mon Apr 08, 2013 12:15 pm, edited 1 time in total.

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by Castillonis » Mon Apr 08, 2013 12:10 pm

Videos of lectures from Dr. Mubarak Shah's Computer Vision class which is taught at University of Central Flordia are available on Youtube. The videos have been uploaded to Youtube user UCF CRCV
https://www.youtube.com/user/UCFCRCV?feature=watch

The videos for Computational Photography are not as high quality as other material that I have viewed on Coursera.

Szelki's Computer vision text
The lectures follow Richard Szeliski's Computer Vision: Algorithms and Applications. Chapter 4 Feature detection and matching pages 181-228

For HDR and tone mapping
Blochi has mentioned in the past that his book is the practical application of Reinhard et Al's High Dynamic Range Imaging text.
Last edited by Castillonis on Mon Apr 08, 2013 12:11 pm, edited 1 time in total.


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