{"id":2660,"date":"2012-08-09T10:20:00","date_gmt":"2012-08-09T17:20:00","guid":{"rendered":"https:\/\/pkmital.com\/home\/?post_type=pkm_teaching&p=2660"},"modified":"2023-08-22T18:00:23","modified_gmt":"2023-08-23T01:00:23","slug":"workshops-in-creative-coding-computer-vision","status":"publish","type":"pkm_teaching","link":"https:\/\/pkmital.com\/home\/teaching\/workshops-in-creative-coding-computer-vision\/","title":{"rendered":"Goldsmiths, University of London | Workshops in Creative Coding: Computer Vision"},"content":{"rendered":"\n

Introduction<\/h3>\n\n\n\n

This is the homepage for the Master\u2019s course \u2013 Workshops in Creative Coding: Computer Vision @ Goldsmiths, University of London\u2019s Department of Computing. We will go over the basics of Computer Vision within the openFrameworks environment, using the ofxOpenCV addon, as well as using OpenCV directly. The course will be taught over 3 weeks and will end with a final project due at the end of Reading week. <\/p>\n\n\n\n

Labs<\/h3>\n\n\n\n

On this page, you will find your lab sheets and example solutions to the labs by the end of the week. <\/p>\n\n\n\n

Please make sure you already have a coding environment setup to use openFrameworks v007: openFrameworks<\/a>. openFrameworks v007 includes an addon for OpenCV version 2.2.0 which we will explore extensively. We will also use some features of the OpenCV library directly. Keep in mind links for the OpenCV documentation<\/a> and Wiki<\/a> pages. Actually, this page<\/a> is a good compendium of different resources, and also includes a link to a PDF Manual of OpenCV 2.3.1<\/a>. More information is also in each of the lab sheets below.<\/p>\n\n\n\n

Final Project<\/h3>\n\n\n\n

Information regarding your final project can also be found here for [Computational Arts]<\/a> and [Games]<\/a> students.  You are expected to have formed groups no larger than 6 ready with an idea for discussion by the start of the second week\u2019s lab (30th\/31st of January) <\/strong>.<\/p>\n\n\n\n

You will be asked to show your finished work to us in the week after reading week (details to follow).<\/p>\n\n\n\n

You should also submit a short (500 words) written discussion of your work by midnight on the 19th Feb. This should include a brief description of your work, your role in the work and the contribution of your different team members. In the last category you should state whether you feel the contribution was roughly equal in which case marks will be allocated equally, or whether any team members contributed significantly more or less.<\/p>\n\n\n\n

Other Computer Vision courses<\/h3>\n\n\n\n

Bob Fisher\u2019s IVR Introduction to Vision and Robotics<\/a> & AV Advanced Vision<\/a> classes at University of Edinburgh
James Hays\u2019s CS 143 Introduction to Computer Vision<\/a> class at Brown
Trevor Darrell\u2019s CS 280 Computer Vision<\/a> class at University of California, Berkeley
Antonio Torralba\u2019s 6.869 Advances in Computer Vision<\/a> class at MIT
Kristen Grauman\u2019s CS 378 Computer Vision<\/a> class at University of Texas, Austin<\/p>\n\n\n\n

Recommended Books<\/h3>\n\n\n\n

Forsyth & Ponce \u2013 Computer Vision: a Modern Approach
Norvig \u2013 Artificial Intelligence: a Modern Approach
Bishop \u2013 Pattern Recognition and Machine Learning
Ballard & Brown \u2013 Computer Vision [free eBook<\/a>]<\/p>\n\n\n\n

Week 1<\/h3>\n\n\n\n
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Introduction<\/strong><\/p>\n<\/div>\n\n\n\n

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This lab will orient you with using some features of openFrameworks\u2019 ofxOpenCv addon, which builds wrappers for OpenCV, and also get you started with using OpenCV itself using some of its most basic functions.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Lecture Slides<\/strong><\/p>\n<\/div>\n\n\n\n

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