Trainable visual models for object classification

author: Andrew Zisserman, Department of Engineering Science, University of Oxford
published: Feb. 25, 2007,   recorded: May 2004,   views: 2346
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Description

The general theme of the tutorial will be 'trainable visual models for object classification'. I will cover: the difficulty of the problem a few approaches Perona and Welling Pictorial structures of Felzenszwalb and Huttenlocher Borenstein and Ullman Agarwal and Roth Leibe and Schiele covering the method, invariance, data preparation and then go into detail on the constellation model end with research challenges

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Download slides icon Download slides: lmcv04_zisserman_tvmoc_01.pdf (15.1┬áMB)


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Reviews and comments:

Comment1 Zeeshan Zia, October 28, 2009 at 9:54 p.m.:

WOW! superb lecture...surveyed a lot (for 1.25 hours) of literature very understandably.

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