A Multilevel-Multiresolution Technique For Computer Vision Via Renormalization Group Ideas

Basilis Gidas

doi:10.1117/12.944054

20 April 1988 A Multilevel-Multiresolution Technique For Computer Vision Via Renormalization Group Ideas

Basilis Gidas

Proceedings Volume 0880, High Speed Computing; (1988) https://doi.org/10.1117/12.944054
Event: 1988 Los Angeles Symposium: O-E/LASE '88, 1988, Los Angeles, CA, United States

Abstract

A multilevel-multiresolution method for image processing tasks and computer vision in general, is presented. The method is based on a combination of probabilistic models, Monte Carlo type algorithms, and renormalization group ideas. The method is suitable for implementation on massively parallel computers. It also yields a new global optimization algorithm potentially applicable to any cost function, but especially efficient for problems which are governed by local spatial relations.

Citation Download Citation

Basilis Gidas "A Multilevel-Multiresolution Technique For Computer Vision Via Renormalization Group Ideas", Proc. SPIE 0880, High Speed Computing, (20 April 1988); https://doi.org/10.1117/12.944054

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