Local gist vision of man-made objects

• Author(s): Martins, J. C. ; Rodrigues, J. M. F. ; du Buf, J. M. H.
• Date: 2011
• Persistent ID: http://hdl.handle.net/10400.1/2104
• Origin: Sapientia - Universidade do Algarve
• Subject(s): Visão humana
• Document Type: Conference Object
• Language: English

Description

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.