A multiacuity connectionist model for local speed estimation

C. Bandera, I. M. Conde, J. Jerez, M. González, F. J. Vico, F. Ortega

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Multiresolution foveal imaging offers a field-of-view×acuity×frame rate product much greater than that of uniform acuity imaging, and can reduce the computational complexity of vision in dynamic scenarios with localized relevance. The latter requires space variant retinotopic processing with results that are consistent between different resolutions. A physiologically inspired connectionist model is presented which yields local speed estimates consistent between coarse resolution peripheral vision and fine resolution central vision. A non-uniform acuity profile across the field-of-view is compensated by an inverse profile of weights in the model. This model demonstrates the efficiency of multiresolution vision when processing and retinotopology are properly matched.

Original languageEnglish (US)
Title of host publicationFrom Natural to Artificial Neural Computation - International Workshop on Artificial Neural Networks, Proceedings
EditorsJose Mira, Francisco Sandoval
PublisherSpringer Verlag
Pages979-986
Number of pages8
ISBN (Print)3540594973, 9783540594970
DOIs
StatePublished - 1995
Externally publishedYes
Event3rd International Workshop on Artificial Neural Networks, IWANN 1995 - Malaga-Torremolinos, Spain
Duration: Jun 7 1995Jun 9 1995

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume930
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Workshop on Artificial Neural Networks, IWANN 1995
CountrySpain
CityMalaga-Torremolinos
Period6/7/956/9/95

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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