Title
A Color-Based Approach to Automatic Human Face Detection
Document Type
Conference Proceeding
Publisher
IEEE Press
Faculty
Computing, Health and Science
School
School of Engineering, Centre for Communications Engineering Research
RAS ID
2561
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.
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