Modeling foveal vision

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

9 Citations (Scopus)
63 Downloads (Pure)

Abstract

geometric model is proposed for an artificial foveal vision system, and its plausibility in the context of biological vision is explored. The model is based on an isotropic, scale invariant two-form that describes the spatial layout of receptive fields in the the visual sensorium (in the biological context roughly corresponding to retina, LGN, and V1). It overcomes the limitation of the familiar log-polar model by handling its singularity in a graceful way. The log-polar singularity arises as a result of ignoring the physical resolution limitation inherent in any real (artificial or biological) visual system. The incorporation of such a limitation requires the introduction of a physical constant, measuring the radius of the geometric foveola (a central region characterized by maximal resolving power). The proposed model admits a description in singularity-free canonical coordinates that generalize the well-established log-polar coordinates, and that reduce to these in the asymptotic case of negligibly sized geometric foveola (or, equivalently, at peripheral locations in the visual field). Biological plausibility of the model is demonstrated by comparison with known facts on human vision.
Original languageEnglish
Title of host publicationProceedings of the First International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2007) 30 May - 2 June 2007, Ischia, Italy
EditorsF. Sgallari, A. Murli, N. Paragios
Place of PublicationBerlin
PublisherSpringer
Pages919-928
Number of pages10
ISBN (Print)978-3-540-72822-1
DOIs
Publication statusPublished - 2007
EventFirst International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2007) - Ischia, Italy
Duration: 30 May 20072 Jun 2007

Publication series

NameLecture Notes in Computer Science
Volume4485
ISSN (Print)0302-9743

Conference

ConferenceFirst International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2007)
CountryItaly
CityIschia
Period30/05/072/06/07

Fingerprint

Dive into the research topics of 'Modeling foveal vision'. Together they form a unique fingerprint.

Cite this