Synthesis of Visual Modules from Examples: Learning Hyperacuity

Abstract

For any given visual competence, it is tempting to conjecture a specific algorithm and a corresponding neural circuitry. It has been often implicitly assumed that this machinery may be hardwired in the brain. This extreme point of view, if taken seriously, amy quickly lead to absurd consequences. The underlying reason for the spectacular performance of human subjects in these tasks is that the information sampled by the photoreceptors and relayed to the brain does contain the information necessary for precise localization of image features, since the spacing between photoreceptors and the eye's optics satisfy (in the fovea) the constraints of the sampling theorem. More specifically, it has been shown that, in principle, spatial mechanisms that account for grating resolution are sensitive enough to support hyperacuity-level performance. Furthermore, some of the hyperacuity tasks can be solved by detecting 'secondary' cues such as luminance difference (as in the bisection task) or orientation (as in the detection of vertical vernier stimuli). The detailed structure of the neural circuitry that subserves the detection of these cues, or hyperacuity performance in other tasks is, however, unknown.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1991
Accession Number
ADA241159

Entities

People

  • Manfred Fahle
  • Shimon Edelman
  • Tomaso Poggio

Organizations

  • Massachusetts Institute of Technology

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Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Applied Mathematics
  • Artificial Intelligence
  • Coefficients
  • Computer Science
  • Computer Vision
  • Data Science
  • Factor Analysis
  • Information Processing
  • Information Science
  • Invariance
  • Object Recognition
  • Probability
  • Regression Analysis
  • Simulations
  • Two Dimensional

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  • Calculus or Mathematical Analysis
  • Neuroscience
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

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  • Space