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Issue No.07 - July (2003 vol.25)
pp: 837-851
ABSTRACT
<p><b>Abstract</b>—The authors present a framework to guide development of evidential reasoning in object recognition systems. Principles of evidential reasoning processes for open-world object recognition are proposed and applied to build evidential reasoning capabilities. The principles summarize research and findings by the authors up through the mid-1990s, including seminal results in object-centered computer vision, figure-ground discrimination, and the application of hierarchical Bayesian inference, Bayesian networks, and decision graphs to evidential reasoning for object recognition.</p>
INDEX TERMS
Evidential reasoning, object recognition, Bayesian inference, Bayesian networks, computer vision systems, utility-based control.
CITATION
Thomas O. Binford, Tod S. Levitt, "Evidential Reasoning for Object Recognition", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.25, no. 7, pp. 837-851, July 2003, doi:10.1109/TPAMI.2003.1206513
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