Facial feature detection using geometrical face model: An efficient approach
Journal
Pattern Recognition
Journal Volume
31
Journal Issue
3
Pages
273-282
Date Issued
1998
Author(s)
Abstract
A useful geometrical face model and an efficient facial feature detection approach are proposed. Based on the fact that human faces are constructed in the same geometrical configuration, the proposed approach can accurately detect facial features, especially the eyes, even when the images have complex backgrounds. The average computation time for one image of size 512 × 340 is less than 5 s by a SUN-Sparc 20 workstation. Experimental results demonstrate that the proposed approach can efficiently detect human facial features and satisfactorily deal with the problems caused by bad lighting condition, skew face orientation, and even facial expression. © 1997 Pattern Recognition Society. Published by Elsevier Science Ltd.
SDGs
Type
journal article