Abstract
Face detection is a key problem in human-computer interaction. In this paper, we present an algorithm for rotation invariant face detection in color images of cluttered scenes. It is a hierarchical approach, which combines a skin color model, a neural network, and an upright face detector. Firstly, the skin color model is used to process the color image to segment the face-like regions from the background. Secondly, the neural network computing and an operation for locating irises are performed to acquire rotation angle of each input window in the face-like regions. Finally, we provide an upright face detector to determine whether or not the rotated window is a face. Those techniques are integrated into a face detection system. The experiments show that the algorithm is robust to different face sizes and various lighting conditions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Henry A. Rowley, Shumeet Baluja, Takeo Kanade. Neural Network-Based Face Detection. IEEE Translation On Pattern Analysis And Machine Intelligence, Vol.20, No.1, pp29–38, January 1998.
Kah-Kay Sung, Tomaso Poggio. Example-Based Learning for View-Based Human Face Detection. IEEE Translation On Pattern Analysis And Machine Intelligence, Vol.20, No.1, pp39–50, January 1998.
Edgar Osuna, Rebert Freund, Federico Girosi. Training Support Vector Machines: an Application to Face Detection. Proceedings of CVPR’97, pp130–136, 1997.
Menser B. Muller F. Face detection in color images using principal component analysis. Proceedings of 7th International Congress on Image Processing and its Applications. 13-15 July 1999.
Penio S Penev, Joseph J Atick. Local Feature Analysis: A general statistical theory for object representation, http://venezia.Rockefeller.edu
Kin Choong Yow, Roberto Cipolla. Feature-Based Human Face Detection, CUED/F-INFENG/TR 249, August 1996.
Jun Miao, Baocai Yin, Kongqiao Wang, Lansun Shen, Xuecun Chen. A hierarchical multiscale and multiangle system for human face detection in a complex background using gravity-center template. Pattern Recognition, vol.32, no.7, pp.1237–48, July 1999.
Sobottka K, Pitas I. A novel method for automatic face segmentation, facial feature extraction and tracking. Signal Processing: Image Communication, vol.12, no.3, and pp.263–81, June 1998.
Sun QB, Huang WM, Wu JK. Face detection based on color and local symmetry information. Proceedings of Third IEEE International Conference on Automatic Face and Gesture Recognition. IEEE Comput. Soc. pp.130–135, 1998.
Henry A. Rowly, Shumeet Baluja, Takeo Kanade. Rotation Invariant Neural Network-Based Face Detection. Computer Vision and Pattern Recognition, pp.38–44, 1998.
Liu Mingbao, Gao Wen. A Human Face Detection and Tracking System for Unconstrained Backgrounds. International Symposium on Information Science and Technology, Beijing, 1996.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, H., Zhao, D., Gao, W., Chen, X. (2000). Combining Skin Color Model and Neural Network for Rotation Invariant Face Detection. In: Tan, T., Shi, Y., Gao, W. (eds) Advances in Multimodal Interfaces — ICMI 2000. ICMI 2000. Lecture Notes in Computer Science, vol 1948. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40063-X_31
Download citation
DOI: https://doi.org/10.1007/3-540-40063-X_31
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-41180-2
Online ISBN: 978-3-540-40063-9
eBook Packages: Springer Book Archive