A boundary-pair representation for perception modeling

نویسندگان

  • Xiuwen Liu
  • DeLiang Wang
چکیده

It is widely accepted that responses from onand o -center cells give rise to edges and are equivalent to edge detectors. In this paper, we point out that onand o -center cell responses provide more information than edges. We show that an edge-based representation makes the ownership of boundaries ambiguous and requires a combinatorial search to model perceptual grouping. By analyzing the di erences between edges and responses from onand o -center cells, we propose a boundary-pair representation, which makes the ownership of boundaries explicit and eliminates the need of a combinatorial search computationally. Each boundary in the boundary-pair representation is associated with regional attributes. We show that this representation is equivalent to a surface representation through a local di usion. This provides a uni ed representation for perception modeling. Based on this representation, a gure-ground segregation network is constructed to demonstrate the capabilities of the model in explaining many perceptual phenomena.

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A Boundary-pair Representation for Perception Modeling - Neural Networks, 1999. IJCNN '99. International Joint Conference on

It is widely accepted that responses from onand off-center cells give rise to edges and are equivalent to edge detectors. In this paper, we point out that onand off-center cell responses provide more information than edges. W e show that an edge-based representation makes the ownership of boundaries ambiguous and requires a combinatorial search to model perceptual grouping. By analyzing the dif...

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تاریخ انتشار 1999