Perceptual Organization Based on Temporal Dynamics

A figure-ground segregation network is proposed based on a novel boundary pair representation. Nodes in the network are bound(cid: 173) ary segments obtained through local grouping. Each node is ex(cid: 173) citatorily coupled with the neighboring nodes that belong to the same region, and inhibitorily coupled with the corresponding paired node. Gestalt grouping rules are incorporated by modulating con(cid: 173) nections. The status of a node represents its probability being figural and is updated according to a differential equation. The system solves the figure-ground segregation problem through tem(cid: 173) poral evolution. Different perceptual phenomena, such as modal and amodal completion, virtual contours, grouping and shape de(cid: 173) composition are then explained through local diffusion. The system eliminates combinatorial optimization and accounts for many psy(cid: 173) chophysical results with a fixed set of parameters.

Authors

• Xiuwen Liu
• Deliang Wang Faculty of Education, The University of Hong Kong

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