ML Anthology

Optimization in Model Matching and Perceptual Organization

Eric Mjolsness, Gene Gindi, P. Anandan
NeCo 1989 pp. 218-229
doi:10.1162/NECO.1989.1.2.218 /neco/1989/mjolsness1989neco-optimization/

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.

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Cite

Text

Mjolsness et al. "Optimization in Model Matching and Perceptual Organization." Neural Computation, 1989. doi:10.1162/NECO.1989.1.2.218

Markdown

[Mjolsness et al. "Optimization in Model Matching and Perceptual Organization." Neural Computation, 1989.](https://mlanthology.org/neco/1989/mjolsness1989neco-optimization/) doi:10.1162/NECO.1989.1.2.218

BibTeX

@article{mjolsness1989neco-optimization,
  title     = {{Optimization in Model Matching and Perceptual Organization}},
  author    = {Mjolsness, Eric and Gindi, Gene and Anandan, P.},
  journal   = {Neural Computation},
  year      = {1989},
  pages     = {218-229},
  doi       = {10.1162/NECO.1989.1.2.218},
  volume    = {1},
  url       = {https://mlanthology.org/neco/1989/mjolsness1989neco-optimization/}
}