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|Título:||Face recognition by cortical multi-scale line and edge representations|
|Autor:||Rodrigues, J. M. F.|
du Buf, J. M. H.
|Editora:||Póvoa do Varzim|
|Citação:||International Conference on Image Analysis and Recognition (ICAR 2006). - Póvoa do Varzim : Springer, 18-20 September 2006. - LNCS 4142. - p. 329-340|
|Resumo:||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.|
|Aparece nas colecções:||ISE3-Livros (ou partes, com ou sem arbitragem científica)|
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