Paper Info
Title
Modeling Foveal Vision
Abstract
A 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 de- scribes 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 (artifi- cial 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 resolv- ing power). The proposed model admits a description in singularity-free canonical coordinates that generalize the well-established log-polar co- ordinates, 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 com- parison with known facts on human vision.
Year
DOI
Venue
2007
10.1007/978-3-540-72823-8_79
Scale-Space Theories in Computer Vision
Keywords
Field
DocType
biological context,biological vision,human vision,scale invariance,geometric foveola,receptive field scaling.,biological plausibility,geometric model,log-polar singularity,foveal vision,artificial foveal vision system,generalized log-polar map,cortical magnifi- cation,familiar log-polar model
Computer vision,Cortical magnification,Scale invariance,Geometric modeling,Singularity,Canonical coordinates,Artificial intelligence,Foveal,Foveola,Visual field,Mathematics
Conference
Volume
ISSN
Citations 
4485
0302-9743
2
PageRank 
References 
Authors
0.36
6
2
Name
Order
Citations
PageRank
Luc Florack120.36
L. M. J. Florack21212210.47