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
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
Comments
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. Available here