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Local gist vision of man-made objects
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Orientador(es)
Resumo(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.
Descrição
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Visão humana
Contexto Educativo
Citação
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