Monthly
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6 x 9, illustrated
ISSN
0899-7667
E-ISSN
1530-888X
2014 Impact factor:
2.21

Neural Computation

Summer 1989, Vol. 1, No. 2, Pages 218-229
(doi: 10.1162/neco.1989.1.2.218)
© 1989 Massachusetts Institute of Technology
Optimization in Model Matching and Perceptual Organization
Article PDF (538.39 KB)
Abstract

We introduce an optimization approach for solving problems in computer vision that involve multiple levels of abstraction. Our objective functions include compositional and specialization hierarchies. We cast vision problems as inexact graph matching problems, formulate graph matching in terms of constrained optimization, and use analog neural networks to perform the optimization. The method is applicable to perceptual grouping and model matching. Preliminary experimental results are shown.