Literature DB >> 2742915

Energy functions for early vision and analog networks.

A L Yuille1.   

Abstract

This paper describes attempts to model the modules of early vision in terms of minimizing energy functions, in particular energy functions allowing discontinuities in the solution. It examines the success of using Hopfield-style analog networks for solving such problems. Finally it discusses the limitations of the energy function approach.

Mesh:

Year:  1989        PMID: 2742915     DOI: 10.1007/bf00204595

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  13 in total

1.  Stochastic relaxation, gibbs distributions, and the bayesian restoration of images.

Authors:  S Geman; D Geman
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  1984-06       Impact factor: 6.226

2.  Optimization by simulated annealing.

Authors:  S Kirkpatrick; C D Gelatt; M P Vecchi
Journal:  Science       Date:  1983-05-13       Impact factor: 47.728

Review 3.  Computational vision and regularization theory.

Authors:  T Poggio; V Torre; C Koch
Journal:  Nature       Date:  1985 Sep 26-Oct 2       Impact factor: 49.962

4.  A computational theory of human stereo vision.

Authors:  D Marr; T Poggio
Journal:  Proc R Soc Lond B Biol Sci       Date:  1979-05-23

5.  Massively parallel implementations of theories for apparent motion.

Authors:  N M Grzywacz; A L Yuille
Journal:  Spat Vis       Date:  1988

6.  The resolution of ambiguous stereoscopic matches by interpolation.

Authors:  G J Mitchison; S P McKee
Journal:  Vision Res       Date:  1987       Impact factor: 1.886

7.  Displacement thresholds for coherent apparent motion in random dot-patterns.

Authors:  V S Ramachandran; S M Anstis
Journal:  Vision Res       Date:  1983       Impact factor: 1.886

8.  Neural networks and physical systems with emergent collective computational abilities.

Authors:  J J Hopfield
Journal:  Proc Natl Acad Sci U S A       Date:  1982-04       Impact factor: 11.205

9.  Apparent motion of subjective surfaces.

Authors:  V S Ramachandran
Journal:  Perception       Date:  1985       Impact factor: 1.490

10.  Neurons with graded response have collective computational properties like those of two-state neurons.

Authors:  J J Hopfield
Journal:  Proc Natl Acad Sci U S A       Date:  1984-05       Impact factor: 11.205

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