Deim Seminar
Title
Are external feace features useful for face recognition?
Conferenciant
Jordi Vitrià
Professor/a organitzador/a
Institution
Centre de Visió per Computador (Bellaterra)
Date
29-09-2006 12:00
Summary
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.
Place
Lab. 231
Language
Català
