作者
Luiz Pessoa, Ennio Mingolla, Heiko Neumann
发表日期
1995/8/1
期刊
Vision Research
卷号
35
期号
15
页码范围
2201-2223
出版商
Pergamon
简介
A neural network model of brightness perception is developed to account for a wide variety of data, including the classical phenomenon of Mach bands, low- and high-contrast missing fundamental, luminance staircases, and non-linear contrast effects associated with sinusoidal waveforms. The model builds upon previous work on filling-in models that produce brightness profiles through the interaction of boundary and feature signals. Boundary computations that are sensitive to luminance steps and to continuous luminance gradients are presented. A new interpretation of feature signals through the explicit representation of contrast-driven and luminance-driven information is provided and directly addresses the issue of brightness “anchoring”. Computer simulations illustrate the model's competencies.
引用总数
学术搜索中的文章
L Pessoa, E Mingolla, H Neumann - Vision Research, 1995
L Pessoa, EC Mingolla, H Neumann - 1994