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Are external feace features useful for face recognition?


Jordi Vitri

Professor/a organitzador/a


Centre de Visi per Computador (Bellaterra)


29-09-2006 12:00


In general, automatic face classification applications images are captured in natural non-controled environments. In these cases, the performance is affected by variations in facial images related to illumination, pose, occlusion or expressions. Most of the existing face classification systems use only the internal features information, composed by eyes, nose and mouth, since they are more difficult to imitate. Nevertheless, nowadays a lot of applications not related to security are developed, and in these cases the information located at head, chin or ears zones (external features) can be useful to improve the current accuracies. However, the lack of a natural alignment in these areas makes difficult to extract these features applying classic Bottom-Up methods. We propose a new scheme based on a Top- Down reconstruction algorithm to extract external features of face images. To test our system we have performed face recognition experiments using public databases. We have considered images uniformly illuminated, images with occlusions and images with high local changes in the illumination, and the obtained results show that the information contributed by the external features can be useful for recognition purposes, specially significant when faces are partially occluded.


Lab. 231