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ECVision indexed and annotated bibliography of cognitive computer vision publications
This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1
The complete text version of this BibTeX file is available here: ECVision_bibliography.bib


E. Rome
Simulating perceptual clustering by {G}estalt principles

ABSTRACT

In this paper we propose a method for the detection of salient non-local structures in vector graphics. Non-local structures may consist of similar graphical objects—the constituents of a vector graphics—or of objects which are orderly arranged. They may be perceived immediately, but they are not explicitly represented in the internal description of a graphics. Information on such cognitive relevant structures may serve as additional indices to the graphics data base of a graphics retrieval system or may guide higher scene interpretation routines. Nonlocal structures emerge as a result of grouping processes of visual perception. The method used to detect non-local structures is the simulation of models of organizing phenomena of human visual perception. In particular, we use Treisman’s feature map model and Palmer’s transformational approach to human visual perception.


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