错觉轮廓感知的神经网络模型

Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Pub Date : 1992-06-15 DOI:10.1109/CVPR.1992.223202

J. Skrzypek, B. Ringer

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引用次数: 16

摘要

通过模拟用灰度图像测试的神经网络结构，研究了错觉轮廓感知的生理动机模型。结果表明，将自下而上的特征聚合策略与循环处理相结合的模型最适合描述这种类型的感知完成。

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Neural network models for illusory contour perception

A physiologically motivated model of illusory contour perception is examined by simulating a neural network architecture that was tested with gray-level images. The results indicate that a model that combines a bottom-up feature aggregation strategy with recurrent processing is best suited for describing this type of perceptual completion.<>

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Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

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