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Detection of Multi-Part Objects by Top-Down Perceptual Grouping
The University of Victoria, Victoria, British Columbia, Canada May 09-May 11
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CRV.2005.34The 2nd Canadian Conference on Comput ...
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V?n?r? Randrianarisoa, Universit? Laval, Canada
Jean-Fran?ois Bernier, Universit? Laval, Canada
Robert Bergevin, Universit? Laval, Canada
In this paper, a top-down approach based on perceptual grouping is proposed for multi-part objects detection. The abstract conceptual category of multi-part objects is formalized by a set of global criteria. These criteria will enable the evaluation of the segmentation quality in order to determine if the whole grouping is perceptually significant and if it has a good perceptual shape. A new cognitive vision methodology, called SAFE (Subjectivity And Formalism Explicitly), is presented. Its goal is to help identify the proper global criteria and to validate the judgment derived from formal calculations of these criteria by human judgment.
Index Terms:
perceptual grouping, top-down processing, methodology, object detection
Citation:
V?n?r? Randrianarisoa, Jean-Fran?ois Bernier, Robert Bergevin, "Detection of Multi-Part Objects by Top-Down Perceptual Grouping," crv, pp.536-543, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05), 2005
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