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Recognition of facial expressions by cortical multi-scale line and edge coding
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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 humana
Contexto Educativo
Citação
Sousa, R.; Rodrigues, J.M.F.; du Buf, J.M.H. Recognition of facial expressions by cortical multi-scale line and edge coding, Trabalho apresentado em ICIAR 2010, In Proc. Int. Conf. on Image Analysis and Recognition (ICIAR 2010), Póvoa do Varzim, Portugal, 2010.