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Neural Dynamics of 3-D Surface Perception: Figure-Ground Separation and Lightness Perception

机译:3-D表面感知的神经动力学:图形-地面分离和亮度感知

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摘要

This article develops the FACADE theory of three-dimensional (3-D) vision to simulate data concerning how two-dimensional (2-D) pictures give rise to 3-D percepts of occluded and occluding surfaces. The theory suggests how geometrical and contrastive properties of an image can either cooperate or compete when forming the boundary and surface representations that subserve conscious visual percepts. Spatially long-range cooperation and short-range competition work together to separate boundaries of occluding ligures from their occluded neighbors, thereby providing sensitivity to T-junctions without the need to assume that T-junction "detectors" exist. Both boundary and surface representations of occluded objects may be amodaly completed, while the surface representations of unoccluded objects become visible through modal processes. Computer simulations include Bregman-Kanizsa figure-ground separation, Kanizsa stratification, and various lightness percepts, including the Munker-White, Benary cross, and checkerboard percepts.
机译:本文发展了三维(3-D)视觉的FACADE理论,以模拟有关二维(2-D)图片如何产生被遮挡和被遮挡表面的3D感知的数据。该理论提出,当形成边界图和表面图时,图像的几何和对比度特性可以相互配合或竞争,而这些边界图和表面表示可以满足有意识的视觉感知。空间上的远程合作和短距离竞争共同努力,将闭塞语的边界与被遮挡的邻居分隔开,从而提供了对T型结的敏感性,而无需假设存在T型结“检测器”。被遮挡对象的边界和表面表示都可以无模态地完成,而未被遮挡对象的表面表示可以通过模态过程变得可见。计算机模拟包括Bregman-Kanizsa图形-地面分离,Kanizsa分层以及各种亮度感知,包括Munker-White,Benary cross和棋盘格感知。

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