| 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
D. Geiger and K. Kumaran and L. Parid
ABSTRACT
A common factor in all illusory contour figures is the perception of a surface occluding part of a background. In our previous work we have shown that by detecting junctions and assigning a proper set of hypothesis at each junction, we could diffuse this information and obtain surface reconstructions where the surface boundaries represented illusory contours. Amodal completions emerge at the overlapping surfaces. We here address the problem of selecting the best image organization (set of hypothesis). We propose two optimization criteria, one based on a coherence measure between pairs of junctions (correlation between the diffusion of each pair) and another one based on an entropy measure (sharpness of the reconstruction). We show their similarity and a statistical physics approach to select the best organization. The experiments suggest that despite the large number of possible organizations our approach may take a few steps to select the best organization (starting from random organizations). |
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