Extraction of facial regions and features using color and shape information

Author

Sobottka, Karin ; Pitas, Ioannis

Author_Institution

Dept. of Inf., Thessaloniki Univ., Greece

Volume

3

fYear

1996

fDate

25-29 Aug 1996

Firstpage

421

Abstract

There are many applications for systems coping with the problem of face localization and recognition, e.g. model-based video coding, security systems and mug shot matching. Due to variations in illumination, back-ground, visual angle and facial expressions, the problem of machine face recognition is complex. In this paper we present a robust approach for the extraction of facial regions and features out of color images. First, face candidates are located based on the color and shape information. Then the topographic grey-level relief of facial regions is evaluated to determine the position of facial features as eyes and month. Results are shown for two example scenes

Keywords

computer vision; face recognition; feature extraction; image colour analysis; image segmentation; minimax techniques; color images; color information; face recognition; facial expressions; facial region extraction; features extraction; grey-level images; image segmentation; minimax technique; shape information; Color; Data mining; Eyes; Face recognition; Facial features; Lighting; Robustness; Security; Shape; Video coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1996., Proceedings of the 13th International Conference on

Conference_Location

Vienna

ISSN

1051-4651

Print_ISBN

0-8186-7282-X

Type

conf

DOI

10.1109/ICPR.1996.546982

Filename

546982