Face Detection in Non-uniform Illumination Conditions by Using Color and Triangle-based Approach

DOI

10.2991/jcis.2006.198How to use a DOI?

Keywords

Color segmentation; Face detection; Triangle-based Approach; Weighting mask function.

Abstract

This investigation develops an efficient face detection scheme that can detect multiple faces in color images with complex environments and non-uniform illumination conditions. The proposed scheme comprises two stages. The first stage adopts YES color and triangle-based segmentation to search potential face regions. The second stage involves face verification using a weighting mask function. The system can handle various sizes of faces, non-uniform illumination conditions, pose and changeable expression. In particular, the scheme significantly increases the execution speed of the face detection algorithm in complex backgrounds. A result of this study performs better than previous methods in terms of speed and ability to handle non-uniform illumination conditions.

Copyright

© 2006, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chiunhsiun Lin
PY  - 2006/10
DA  - 2006/10
TI  - Face Detection in Non-uniform Illumination Conditions by Using Color and Triangle-based Approach
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SP  - 500
EP  - 503
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.198
DO  - 10.2991/jcis.2006.198
ID  - Lin2006/10
ER  -