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Learning to recognize generic visual categories using a hybrid structural approach

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3 Author(s)
Burger, W. ; Dept. of Syst. Sci., Johannes Kepler Univ., Linz, Austria ; Burge, M. ; Mayr, W.

We address the problem of describing, recognizing, and learning generic, free-form objects in real-world scenes. For this purpose, we have developed a hybrid appearance-based approach where objects are encoded as loose collections of parts and relations between neighboring parts. The key features of this approach are: part decomposition based on local structure segmentation derived from multi-scale wavelet filters, flexible and efficient recognition by combining weak structural constraints, and learning and generalization of generic object categories (with possibly large intra-class variability) from real examples

Published in:

Image Processing, 1996. Proceedings., International Conference on  (Volume:1 )

Date of Conference:

16-19 Sep 1996