View-invariant alignment and matching of video sequences
Cen Rao, Alexei Gritai, et al.
ICCV 2003
We provide a probabilistic framework, based on Perceptual Inference Networks, for the management of computational resources such as special purpose modules, feature detectors, and highly domain dependent algorithms. Since these resources tend to be computationally expensive and have limited applicability, judicious management is warranted. The resources are used to build a comprehensive description of the scene. Resources are selected in an information theoretic framework with the maximization of information gain per unit of computation as the optimality criterion. The viability of the algorithm is demonstrated in perceptual organization tasks. © 1995 Academic Press. All rights reserved.
Cen Rao, Alexei Gritai, et al.
ICCV 2003
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ICPR 2008
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Middleware 2005
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