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Advisor(s)
Abstract(s)
Attention is usually modelled by sequential fixation of peaks in saliency maps. Those maps code local
conspicuity: complexity, colour and texture. Such features have no relation to entire objects, unless also
disparity and optical flow are considered, which often segregate entire objects from their background.
Recently we developed a model of local gist vision: which types of objects are about where in a scene. This
model addresses man-made objects which are dominated by a small shape repertoire: squares, rectangles,
trapeziums, triangles, circles and ellipses. Only exploiting local colour contrast, the model can detect these
shapes by a small hierarchy of cell layers devoted to low- and mid-level geometry. The model has been
tested successfully on video sequences containing traffic signs and other scenes, and partial occlusions
were not problematic.
Description
Keywords
Visão humana
Pedagogical Context
Citation
Martins, J.C.; Rodrigues, J.M.F.; du Buf, J.M.H. Local gist vision of man-made objects, Trabalho apresentado em IV Rovereto Attention Workshop, In Web Proc. IV Rovereto Attention Workshop, Rovereto, Italy, 27-29 Oct. [http://events.unitn.it/en/cimec-raw2011] , Rovereto, Italy, 2011