title: Corner detection in color images by multiscale combination of end-stopped cortical cells.
creator: Würtz, R.P.
creator: Lourens, T.
subject: Animal Cognition
subject: Computational Neuroscience
subject: Artificial Intelligence
subject: Machine Vision
subject: Neural Modelling
description: We present a corner-detection algorithm based on a model for end-stopping cells in the visual cortex. Shortcomings of this model are overcome by a combination over several scales. The notion of an end-stopped cell and the resulting corner detector is generalized to color channels in a biologically plausible way. The resulting corner detection method yields good results in the presence of high frequency texture, noise, varying contrast, and rounded corners. This compares favorably with known corner detectors.
publisher: Springer
contributor: Germond, A.
contributor: Hasler, M.
contributor: Nicoud, J.
date: 1997
type: Conference Paper
type: NonPeerReviewed
format: application/postscript
identifier: http://cogprints.org/504/2/rolf-icann97.ps
identifier:   Würtz, R.P. and Lourens, T.  (1997) Corner detection in color images by multiscale combination of end-stopped cortical cells.  [Conference Paper]     
relation: http://cogprints.org/504/