Hierarchical multiresolution data structures and algorithms for foveal vision systems

Peter D. Scott, Cesar Bandera

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

2 Scopus citations

Abstract

A system that integrates space-variant sampling in foveal vision and time-variant allocation of imaging resources in active perception is sought. It is argued that by folding the foveal data into an image pyramid, the use of uniform lattice operators may be restored. In addition, this hierarchical multiresolution approach to the foveal vision problem suggests an explicit gaze control strategy. Thus, the organizational principles for an active foveal vision system incorporating both space-variant and time-variant resolution resource allocation may be approached through study of the foveal vision problem without prior solution to the active perception problem. Various foveal sensor geometries and the embedding of an image polygon data structure in the image pyramid are discussed, and algorithms and a gaze control strategy consistent with the suggested approach are presented.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE International Conference on Systems, Man and Cybernetics
PublisherPubl by IEEE
Pages832-834
Number of pages3
ISBN (Print)0879425970
StatePublished - Nov 1 1990
Externally publishedYes
Event1990 IEEE International Conference on Systems, Man, and Cybernetics - Los Angeles, CA, USA
Duration: Nov 4 1990Nov 7 1990

Publication series

NameProceedings of the IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)0884-3627

Other

Other1990 IEEE International Conference on Systems, Man, and Cybernetics
CityLos Angeles, CA, USA
Period11/4/9011/7/90

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Hardware and Architecture

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