Abstract
An approach is presented to detect facial features on image sequences. Face regions are first detected across the sequence, then a PCA-based feature detector for still images is used to detect facial features on each single frame until the resulted features of three adjacent frames donx’t change significantly. Given a frame with correct features, the features of its neighbor frames are first detected by the still-image feature detector, then verified and corrected by using the smoothness constraint and the planar surface motion constraint. Experiments have been performed on image sequences taken under different environments, and prove the presented method to be quite robust and efficient over variable poses, ages and illumination 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.
Reference
D. Reisfeld and Y. Yeshuran, “Robust detection of facial features by generalized symmetry,” Proc. 11th Int. Conf. on Patt. Recog., 1992, pp. 117–120.
A. L. Yuille, D. S. Cohen and P. W. Halinan, “Feature extraction from faces using deformable templates,” Proc. IEEE Computer Soc. Conf. on computer Vision and Patt. Recog., 1989, pp.104–109.
C. L. Huang and C. W. Chen, “Human facial feature extraction for face interpretation and recognition,” Pattern Recognition, Vol. 25, No. 12, 1992, pp. 1435–1444.
Ai Haizhou, Liang Luhong and Xu Guangyou, “A General Framework for Face Detection, ” Proc. 3rd Int. Conf. on Multimodal Interfaces, Vol.1948, 2000, pp.119–126.
Peng Zhenyun, Xu Guangyou and Zhang Hongjiang, “Detecting Facial Features on Images with Multiple Faces,” Proc. 3rd Int. Conf. on Multimodal Interfaces, Vol.1948, 2000, pp.191–195.
Peng Zhenyun, You Suya and Xu Gunagyou, “Locating facial features using thresheld images,” in the Third Int. Proc. of Signal Processing, Vol.2, 1996, pp.1162–1166
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhenyun, P., Wei, H., Luhong, L., Guangyou, X., Hongjian, Z. (2001). Detecting Facial Features on Image Sequences Using Cross-Verification Mechanism. In: Shum, HY., Liao, M., Chang, SF. (eds) Advances in Multimedia Information Processing — PCM 2001. PCM 2001. Lecture Notes in Computer Science, vol 2195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45453-5_144
Download citation
DOI: https://doi.org/10.1007/3-540-45453-5_144
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42680-6
Online ISBN: 978-3-540-45453-3
eBook Packages: Springer Book Archive