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Applications to Machine Vision

This video was recorded at EPSRC Winter School in Mathematics for Data Modelling, Sheffield 2008. This presentation describes novel approaches to spatial inference problems in vision and image processing. Markov random field models are described for image restoration, foreground segmentation, graph cutting and stereo matching.

Keywords:: videolectures, ocwc, oec

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Science and Technology / Computer Science / Programming & Programming Languages

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Material Type:: Presentation
Date Added to MERLOT:: February 8, 2015
Date Modified in MERLOT:: February 8, 2015
Author:: Andrew Blake, Microsoft Research
Submitter:: The Open Education Consortium
Primary Audience:: College General Ed, College Lower Division, College Upper Division
Technical Format:: Video

Mobile Compatibility:: Not specified at this time
Language:: English
Cost Involved:: No
Source Code Available:: No
Creative Commons:: This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States