Computational Models of Object Recognition in Cortex: A Review

Abstract

Understanding how biological visual systems perform object recognition is one of the ultimate goals in computational neuroscience. Among the biological models of recognition the main distinctions are between feedforward and feedback and between object-centered and view-centered. From a computational viewpoint the different recognition tasks -- for instance categorization and identification -- are very similar, representing different trade-offs between specificity and invariance. Thus the different tasks do not strictly require different classes of models. The focus of the review is on feedforward, view-based models that are supported by psychophysical and physiological data.

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Document Details

Document Type
Technical Report
Publication Date
Aug 07, 2000
Accession Number
ADA458109

Entities

People

  • Maximilian Riesenhuber
  • Tomaso Poggio

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • C4I

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Cells
  • Cognitive Science
  • Computer Vision
  • Detection
  • Discrimination
  • Feedback
  • Hierarchies
  • Identification
  • Identification Systems
  • Illumination
  • Image Processing
  • Image Recognition
  • Object Recognition
  • Recognition
  • Translations

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Vision.
  • Theoretical Analysis.