Cunha, JoãoRodrigues, J. M. F.du Buf, J. M. H.2009-02-132009-02-13200713th Portuguese Conference on Pattern Recognition (RECPAD 2007). - Lisbon, 26 October 2007. - 2 pAUT: JRO00913; DUB00865;http://hdl.handle.net/10400.1/111Empirical 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.application/pdfengVisão computorizadaCórtex visual621.38journal article