Stepwise reconstruction of high-resolution facial image based on interpolated morphable face model

Jeong Seon Park; Seong Whan Lee

doi:10.1007/11527923_11

Stepwise reconstruction of high-resolution facial image based on interpolated morphable face model

Jeong Seon Park, Seong Whan Lee

Department of Brain and Cognitive Engineering

Research output: Contribution to journal › Conference article › peer-review

4 Citations (Scopus)

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.

Original language	English
Pages (from-to)	102-111
Number of pages	10
Journal	Lecture Notes in Computer Science
Volume	3546
DOIs	https://doi.org/10.1007/11527923_11
Publication status	Published - 2005
Event	5th International Conference on Audio - and Video-Based Biometric Person Authentication, AVBPA 2005 - Hilton Rye Town, NY, United States Duration: 2005 Jul 20 → 2005 Jul 22

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

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title = "Stepwise reconstruction of high-resolution facial image based on interpolated morphable face model",

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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AU - Lee, Seong Whan

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AB - 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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