Compact object recognition using energy-function-based optimization
- 1 July 1992
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 14 (7) , 770-777
- https://doi.org/10.1109/34.142912
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.<>Keywords
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