Compact object recognition using energy-function-based optimization |
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Authors: | Friedland NS Rosenfeld A |
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Affiliation: | Center for Autom. Res., Maryland Univ., College Park, MD; |
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Abstract: | Describes a method of recognizing objects whose contours can be represented in smoothly varying polar coordinate form. Both low- and high-level information about the object (contour smoothness and edge sharpness at the low level and contour shape at the high level) are incorporated into a single energy function that defines a 1D, cyclic, Markov random field (1DCMRF). This 1DCMRF is based on a polar coordinate object representation whose center can be initialized at any location within the object. The recognition process is based on energy function minimization, which is implemented by simulated annealing |
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