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Publicação
Face recognition by cortical multi-scale line and edge representations
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Orientador(es)
Resumo(s)
Empirical studies concerning face recognition suggest that
faces may be stored in memory by a few canonical representations. Models
of visual perception are based on image representations in cortical
area V1 and beyond, which contain many cell layers for feature extraction.
Simple, complex and end-stopped cells provide input for line, edge
and keypoint detection. Detected events provide a rich, multi-scale object
representation, and this representation can be stored in memory in
order to identify objects. In this paper, the above context is applied to
face recognition. The multi-scale line/edge representation is explored in
conjunction with keypoint-based saliency maps for Focus-of-Attention.
Recognition rates of up to 96% were achieved by combining frontal and
3/4 views, and recognition was quite robust against partial occlusions.
Descrição
Palavras-chave
Visão computorizada Córtex visual
Contexto Educativo
Citação
International Conference on Image Analysis and Recognition (ICAR 2006). - Póvoa do Varzim : Springer, 18-20 September 2006. - LNCS 4142. - p. 329-340
Editora
Póvoa do Varzim