Face detection in colour images

Author

Brand, J.D. ; Mason, J.S.D. ; Pawlewski, Mark

Author_Institution

Dept. of Electr. Eng., Univ. of Wales, Swansea, UK

Volume

1

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

1038

Abstract

This paper describes the development and quantitative assessment of an approach to face detection (FD), with the application of image classification in mind. The approach entitled ´crude automatic face extraction´ (CAFE), is based on skin colour segmentation, multiple image representations and multi-resolution scanning. It is a direct extension of an approach by Huang (1994). Assessment is in terms of false acceptance (FA) and false rejection (FR) scores using a large quantity of unconstrained typical Internet images, some of which contain faces and some of which do not. Skin-based colour segmentation is introduced as a front-end, along with several additional low-level image representations, the benefits of which can be seen by a reduction in the FA score from 74% to 17%. It is also noted that a skin probability map can improve FD significantly

Keywords

feature extraction; image classification; image colour analysis; image representation; image resolution; image segmentation; object detection; probability; CAFE system; Internet images; colour images; computer vision; crude automatic face extraction; face detection; false acceptance score; false rejection score; front-end; image classification; low-level image representations; multi-resolution scanning; multiple image representations; quantitative assessment; skin colour segmentation; skin probability map; Cameras; Content based retrieval; Face detection; Image databases; Image representation; Image retrieval; Image segmentation; Internet; Pattern recognition; Skin;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2001. Proceedings. 2001 International Conference on

Conference_Location

Thessaloniki

Print_ISBN

0-7803-6725-1

Type

conf

DOI

10.1109/ICIP.2001.959226

Filename

959226