CNN-based models for color vision and visual illusions

Authors
Zarandy, A Orzo, L Grawes, E Werblin, F
Citation
A. Zarandy et al., CNN-based models for color vision and visual illusions, IEEE CIRC-I, 46(2), 1999, pp. 229-238
Citations number
21
Categorie Soggetti
Eletrical & Eletronics Engineeing
Journal title
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS
ISSN journal
10577122 → ACNP
Volume
46
Issue
2
Year of publication
1999
Pages
229 - 238
Database
ISI
SICI code
1057-7122(199902)46:2<229:CMFCVA>2.0.ZU;2-7
Abstract
Cellular neural/nonlinear network (CNN) models are introduced to analyze an d explain human early vision color perception and some of the visual illusi ons. A CNN model of Horn's algorithm is shown and a new lightness-determina tion method is introduced. CNN models for the brightness, the Mach-band, th e Zollner, the cafe-wall, and the Poggendorff illusions are also introduced .