P. Campadelli and R. Lanzarotti (Italy)
Facial Feature Detection, Face Recognition.
In this paper we present an algorithm for the automatic
detection and description of facial features in 2D color
images of either frontal or rotated human faces. The algorithm ﬁrst identiﬁes the sub-images containing each
feature, afterwards, it processes them separately to ex
tract the characteristic ﬁducial points. The features are
looked for in down-sampled images, the ﬁducial points
are identiﬁed in the high resolution ones. The method
uses both color and shape information and does not re
quire any manual setting or operator intervention.