Abstract
This paper proposes a new method for reconstructing a high-resolution facial image from a low-resolution facial image using stepwise reconstruction based on the interpolated morphable face model. First, we defined an interpolated morphable face model that an interpolated face is composed of a low-resolution face, its interpolated high-resolution face from a low-resolution one, and its original high-resolution one. We also proposed a stepwise reconstruction method for preventing over reconstruction caused by direct reconstruction of a high-resolution image from a low-resolution facial image. The encouraging results show that our proposed method can be used to improve the performance of face recognition systems, specifically in resolution enhancement of facial images captured on visual surveillance systems.
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
Tom, B., Katsaggelos, A.K.: Resolution Enhancement of Monochrome and Color Video Using Motion Comensation. IEEE Trans. on Image Processing 10(2), 278–287 (2001)
Baker, S., Kanade, T.: Limit on Super-Resolution and How to Break Them. IEEE Trans. on Pattern Analysis and Machine Intelligence 24(9), 1167–1183 (2002)
Windyga, P.S.: Fast impulsive noise removal. IEEE Trans. on Image Processing 10(1), 173–178 (2001)
Jones, M.J., Sinha, P., Vetter, T., Poggio, T.: Top-down learning of low-level vision tasks[brief communication]. Current Biology 7, 991–994 (1997)
Hwang, B.-W., Lee, S.-W.: Reconstruction of Partially Damaged Face Images Based on a Morphable Face Model. IEEE Trans. on Pattern Analysis and Machine Intelligence 25(3), 365–372 (2003)
Beymer, D., Shashua, A., Poggio, T.: Example-Based Image Analysis and Synthesis. AI Memo 1431/CBCL Paper 80, Massachusetts Institute of Technology, Cambridge, MA (Nov. 1993)
Vetter, T., Troje, N.E.: Separation of Texture and Shape in Images of Faces for Image Coding and Synthesis. Journal of the Optical Society of America A 14(9), 2152–2161 (1997)
Blanz, V., Vetter, T.: Face Recognition Based on Fitting a 3D Morphable Model. IEEE Trans. on Pattern Analysis and Machine Intelligence 25(9), 1063–1074 (2003)
Park, J.-S., Lee, S.-W.: Resolution Enhancement of Facial Image Using an Error Back-Projection of Example-based Learning. In: Proc. of the 6th Int’l Conf. on Automatic Face and Gesture Recognition, Seoul, Korea, May 2004, pp. 831–836 (2004)
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
Park, JS., Lee, SW. (2005). Stepwise Reconstruction of High-Resolution Facial Image Based on Interpolated Morphable Face Model. In: Kanade, T., Jain, A., Ratha, N.K. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2005. Lecture Notes in Computer Science, vol 3546. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527923_11
Download citation
DOI: https://doi.org/10.1007/11527923_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27887-0
Online ISBN: 978-3-540-31638-1
eBook Packages: Computer ScienceComputer Science (R0)