CNN-based models for color vision and visual illusions

Zarándy, Ákos and Orzó, László and Grawes, E. and Werblin, F. (1999) CNN-based models for color vision and visual illusions. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS, 46 (2). pp. 229-238. ISSN 1057-7122

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Abstract

CNN models are introduced to analyze and explain the human early vision color perception and some of the visual illusions. CNN model of Horn’s algorithm is shown, and a new lightness determination method is introduced. CNN models for the Zöllner, the Café Wall, the Poggendorf, the Brightness, and the Face-Vase illusion are also introduced.

Item Type: ISI Article
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Cellular Sensory and Optical Wave Computing Laboratory
Depositing User: Eszter Nagy
Date Deposited: 11 Dec 2012 14:57
Last Modified: 18 Mar 2013 11:45
URI: http://eprints.sztaki.hu/id/eprint/2145

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