Change search
CiteExportLink to record
Permanent link

Direct link
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Foveal scale-space and the linear increase of receptive field size as a function of eccentricity
KTH, School of Computer Science and Communication (CSC), Computational Biology, CB.ORCID iD: 0000-0002-9081-2170
Utrecht University.
1994 (English)Report (Other academic)
Abstract [en]

This paper addresses the formulation of a foveal scale-space and its relation to the scaling property of receptive field sizes with eccentricity. It is shown how the notion of a fovea can be incorporated into conventional scale-space theory leading to a foveal log-polar scale-space. Natural assumptions about uniform treatment of structures over scales and finite processing capacity imply a linear increase of minimum receptive field size as a function of eccentricity. These assumptions are similar to the ones used for deriving linear scale-space theory and the Gaussian receptive field model for an idealized visual front-end.

Place, publisher, year, edition, pages
KTH Royal Institute of Technology, 1994. , 21 p.
Keyword [en]
fovea, retina, receptive field, scale-space, multi-scale representation, log-polar mapping, visual front-end, resolution, computer vision
National Category
Computer Science Computer Vision and Robotics (Autonomous Systems) Neurosciences
URN: urn:nbn:se:kth:diva-58890OAI: diva2:474284

QC 20130419

Available from: 2013-04-19 Created: 2012-01-09 Last updated: 2013-04-19Bibliographically approved

Open Access in DiVA

fulltext(369 kB)406 downloads
File information
File name FULLTEXT01.pdfFile size 369 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

At authors' home page

Authority records BETA

Lindeberg, Tony

Search in DiVA

By author/editor
Lindeberg, Tony
By organisation
Computational Biology, CB
Computer ScienceComputer Vision and Robotics (Autonomous Systems)Neurosciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 406 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available


Altmetric score