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 |
|---|---|
| Title of host publication | Lecture Notes in Computer Science |
| Editors | T. Kanade, A. Jain, N.K. Ratha |
| Pages | 102-111 |
| Number of pages | 10 |
| Volume | 3546 |
| 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 |
Other
| Other | 5th International Conference on Audio - and Video-Based Biometric Person Authentication, AVBPA 2005 |
|---|---|
| Country | United States |
| City | Hilton Rye Town, NY |
| Period | 05/7/20 → 05/7/22 |
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ASJC Scopus subject areas
- Computer Science (miscellaneous)
Cite this
Stepwise reconstruction of high-resolution facial image based on interpolated morphable face model. / Park, Jeong Seon; Lee, Seong Whan.
Lecture Notes in Computer Science. ed. / T. Kanade; A. Jain; N.K. Ratha. Vol. 3546 2005. p. 102-111.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Stepwise reconstruction of high-resolution facial image based on interpolated morphable face model
AU - Park, Jeong Seon
AU - Lee, Seong Whan
PY - 2005
Y1 - 2005
N2 - 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.
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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M3 - Conference contribution
VL - 3546
SP - 102
EP - 111
BT - Lecture Notes in Computer Science
A2 - Kanade, T.
A2 - Jain, A.
A2 - Ratha, N.K.
ER -