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ECVision indexed and annotated bibliography of cognitive computer vision publications
This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1
The complete text version of this BibTeX file is available here: ECVision_bibliography.bib


Mark Burge and W. Burger
Learning Visual Ideals

ABSTRACT

We address the problem of describing, recognizing, and learning generic, free form objects in real world scenes. We introduce a hybrid appearance based approach, IDEAL, where objects are encoded as a loose collections of parts and the relations between them. The key features of this new approach are the structural part decomposition combining multi scale wavelet segmentation and hierarchical blobs, and learning to recognize generic object categories, exhibiting large intra class variability, from real examples with automatic model acquisition.


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