| 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
Provan, G. and Langley, P. and Binford, T.O.
ABSTRACT
In this paper we report on an approach to learning object models for use in recognition and reconstruction. Our framework represents objects in an image using generalized cylinders and organizes knowledge about classes of objects in a Bayesian network. The recognition process involves propagating evidence through this inference network, whereas learning relies on updating of the network's conditional probabilities based on training cases. We report preliminary experimental results with synthetic data that suggest our method improves its recognition accuracy with experience. We also consider our framework s relation to other research on learning object knowledge for image understanding. |
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