4 resultados para 206-1256D
em SAPIENTIA - Universidade do Algarve - Portugal
Resumo:
In this paper we present an improved model for line and edge detection in cortical area V1. This model is based on responses of simple and complex cells, and it is multi-scale with no free parameters. We illustrate the use of the multi-scale line/edge representation in different processes: visual reconstruction or brightness perception, automatic scale selection and object segregation. A two-level object categorization scenario is tested in which pre-categorization is based on coarse scales only and final categorization on coarse plus fine scales. We also present a multi-scale object and face recognition model. Processing schemes are discussed in the framework of a complete cortical architecture. The fact that brightness perception and object recognition may be based on the same symbolic image representation is an indication that the entire (visual) cortex is involved in consciousness.
Resumo:
Dissertação de mest., Psicologia Clínica e da Saúde, Faculdade de Ciências Humanas e Sociais, Univ. do Algarve, 2010
Resumo:
Dissertação de mest., Psicologia da Educação (Necessidades Educativas Especiais), Faculdade de Ciências Humanas e Sociais, Univ. do Algarve, 2011
Resumo:
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.