Face normalization using multi-scale cortical keypoints

Cunha, João; Rodrigues, J. M. F.; du Buf, J. M. H.

http://hdl.handle.net/10400.1/111

Use this identifier to reference this record.

Name:	Description:	Size:	Format:
RODFac.pdf		855.02 KB	Adobe PDF	Download

Send Feedback

Authors

Cunha, João

Rodrigues, J. M. F.

du Buf, J. M. H.

Abstract(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 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.