Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.1/111
Título: Face normalization using multi-scale cortical keypoints
Autor: Cunha, João
Rodrigues, J. M. F.
du Buf, J. M. H.
Palavras-chave: Visão computorizada
Córtex visual
621.38
Data: 2007
Editora: Lisbon
Citação: 13th Portuguese Conference on Pattern Recognition (RECPAD 2007). - Lisbon, 26 October 2007. - 2 p
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 extractions. Simple, complex and end-stopped cells tuned to different spatial frequencies (scales) and/or orientations provide input for line, edge and keypoint detection. This yields a rich, multi-scale object representation that can be stored in memory in order to identify objects. The multi-scale, keypoint-based saliency maps for Focus-of-Attention can be explored to obtain face detection and normalization, after which face recognition can be achieved using the line/edge representation. In this paper, we focus only on face normalization, showing that multi-scale keypoints can be used to construct canonical representations of faces in memory.
URI: http://hdl.handle.net/10400.1/111
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