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.
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© 2005 Springer-Verlag Berlin Heidelberg
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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
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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
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