Title

A Color-Based Approach to Automatic Human Face Detection

Document Type

Conference Proceeding

Publisher

IEEE Press

Faculty

Faculty of Computing, Health and Science

School

School of Engineering / Centre for Communications Engineering Research

RAS ID

2561

Comments

This article was originally published as: Phung, S. L., Bouzerdoum, A. , Chai, D. K., & Kuczborski, W. (2003). A color-based approach to automatic human face detection. Proceedings of The 3rd International Symposium on Signal Processing and Information Technology (ISSPIT 2003). (pp. 531-534). Piscataway, NJ. IEEE Press. Original article available here

Abstract

We present a new approach to detecting quasi-frontal faces in color images. Our approach combines a color-based skin detection technique, a face candidate selection scheme using a geometric face model and color-based eye detection, and a face/nonface classification method based on the naive Bayes model. The proposed approach eliminates the computation-intensive step of window-scanning commonly adopted in holistic face detection approaches. With the proposed approach, we also address two important problems in face detection, namely coping with in-plane rotation and detecting faces of different sizes.

DOI

10.1109/ISSPIT.2003.1341175

 
COinS
 

Link to publisher version (DOI)

10.1109/ISSPIT.2003.1341175