Object segregation and local gist vision using low-level geometry

Martins, J. A.; Rodrigues, J. M. F.; du Buf, J. M. H.

http://hdl.handle.net/10400.1/7215

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Authors

Martins, J. A.

Rodrigues, J. M. F.

du Buf, J. M. H.

Abstract(s)

Multi-scale representations of lines, edges and keypoints on the basis of simple, complex and end-stopped cells can be used for object categorisation and recognition (Rodrigues and du Buf, 2009 BioSystems 95 206-226). These representations are complemented by saliency maps of colour, texture, disparity and motion information, which also serve to model extremely fast gist vision in parallel with object segregation. We present a low-level geometry model based on a single type of self-adjusting grouping cell, with a circular array of dendrites connected to edge cells located at several angles.