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Trainable visual models for object classification

Trainable visual models for object classification

This video was recorded at Workshop on Pattern Recognition and Machine Learning in Computer Vision, Grenoble 2004. 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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