Abstract
In this paper, a simple 3D edge based template for pose invariant face detection creation using side and front profiles of a general face is proposed. The 3D template is created using the edges that are always most likely to be extracted from a face given a certain pose. Bezier curves are used to create the template. When testing the template, genetic algorithms are used to guide the matching process thereby greatly reducing the total computation time required. The genetic algorithm automatically calculates the angle and the size of the template during the matching. An average pose invariant face detection accuracy of 84.6% was achieved.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Hofmann, T., Puzicha, J., Buhmann, J.M.: Unsupervised Texture Segmentation in a Deterministic Annealing Framework. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 20(8)
Felzenszwalb, P., Huttenlocher, D.: Image Segmentation Using Local Variation. In: Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 98–104 (1998)
Yu, S., Gross, R., Shi, J.: Concurrent Object Segmentation and Recognition with Graph Partitioning, Neural Information Processing Systems, NIPS
Xiao, J., Baker, S., Matthews, I., Kanade, T.: Real-Time Combined 2D+3D Active Appearance Models. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (June 2004)
Phillips, P.J., Moon, H., Rauss, P.J., Rizvi, S.: The FERET evaluation methodology for face recognition algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(10) (October 2000)
Soriano, M., Marszalec, E., Pietikainen, M.: Physics-based face database for color research. Journal of Electronic Imaging 9(1), 32–38 (2000)
Demidov, E.: An Interactive Introduction to Splines (2003) (retrieved April 10, 2005), http://www.ibiblio.org/e-notes/Splines/Intro.htm
Karungaru, S., Fukumi, M., Akamatsu, N.: Detection of human face in visual scenes. In: Proc. of ANZIIS, pp.165–170 (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Karungaru, S., Fukumi, M., Akamatsu, N., Akashi, T. (2006). A Simple 3D Edge Template for Pose Invariant Face Detection. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893011_88
Download citation
DOI: https://doi.org/10.1007/11893011_88
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46542-3
Online ISBN: 978-3-540-46544-7
eBook Packages: Computer ScienceComputer Science (R0)