Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.1/882
Título: A cortical framework for invariant object categorization and recognition
Autor: Rodrigues, J. M. F.
du Buf, J. M. H.
Palavras-chave: Visão humana
Data: 2009
Citação: Rodrigues, João; du Buf, J. M. H. A cortical framework for invariant object categorization and recognition, Cognitive Processing, 10, 3, 243-261, 2009.
Resumo: In this paper we present a new model for invariant object categorization and recognition. It is based on explicit multi-scale features: lines, edges and keypoints are extracted from responses of simple, complex and endstopped cells in cortical area V1, and keypoints are used to construct saliency maps for Focus-of-Attention. The model is a functional but dichotomous one, because keypoints are employed to model the “where” data stream, with dynamic routing of features from V1 to higher areas to obtain translation, rotation and size invariance, whereas lines and edges are employed in the “what” stream for object categorization and recognition. Furthermore, both the “where” and “what” pathways are dynamic in that information at coarse scales is employed first, after which information at progressively finer scales is added in order to refine the processes, i.e., both the dynamic feature routing and the categorization level. The construction of group and object templates, which are thought to be available in the prefrontal cortex with “what” and “where” components in PF46d and PF46v, is also illustrated. The model was tested in the framework of an integrated and biologically plausible architecture.
Peer review: yes
URI: http://hdl.handle.net/10400.1/882
ISSN: 1612-4782
Aparece nas colecções:ISE2-Artigos (em revistas ou actas indexadas)

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