Abstract
In the context of intelligent communication for distance learning, the paper describes the 3D face modelling framework based on advanced face recognition descriptor for a 2D facial image and on a 3D eigenfaces concept.
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.
Similar content being viewed by others
References
Blanz, V., Romdhani, S., Vetter, T.: Face Identification across Different Poses and Illumination with a 3D Morphable Model. In: Proc. FG 2002, pp. 202–207 (2002)
Golub, G., Van Loan, C.: Matrix Computations. Johns Hopkins University Press, Baltimore (1996)
Jolliffe, I.T.: Principal Component Analysis, 2nd edn. Springer, Heidelberg (2002)
Ostermann, J.: Animation of synthetic faces in MPEG-4. Computer Animation, 49–51 (June 1998)
Skarbek, W., Kucharski, K., Bober, M.: Dual Linear Discriminant Analysis for Face Recognition. Fundamenta Informaticae 61(3-4) (May 2004)
Turk, M., Pentland, A.: Eigenfaces for Recognition. Journal of Cognitive Neuroscience 3(1), 71–86 (1991)
Viola, P., Jones, M.: Rapid Object Detection using a Boosted Cascade of Simple Features. In: Conference on Computer Vision and Pattern Recognition (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Skarbek, W., Ignasiak, K., Morgoś, M., Tomaszewski, M. (2005). Towards 3D Face Model from 2D View. In: Bolc, L., Michalewicz, Z., Nishida, T. (eds) Intelligent Media Technology for Communicative Intelligence. IMTCI 2004. Lecture Notes in Computer Science(), vol 3490. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558637_16
Download citation
DOI: https://doi.org/10.1007/11558637_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29035-3
Online ISBN: 978-3-540-31738-8
eBook Packages: Computer ScienceComputer Science (R0)