IEICE TRANSACTIONS on Fundamentals
A Passive 3D Face Recognition System and Its Performance Evaluation
Summary :
This paper proposes a three-dimensional (3D) face recognition system using passive stereo vision. So far, the reported 3D face recognition techniques have used active 3D measurement methods to capture high-quality 3D facial information. However, active methods employ structured illumination (structure projection, phase shift, moire topography, etc.) or laser scanning, which is not desirable in many human recognition applications. Addressing this problem, we propose a face recognition system that uses (i) passive stereo vision to capture 3D facial information and (ii) 3D matching using an ICP (Iterative Closest Point) algorithm with its improvement techniques. Experimental evaluation demonstrates efficient recognition performance of the proposed system compared with an active 3D face recognition system and a passive 3D face recognition system employing the original ICP algorithm.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E91-A No.8 pp.1974-1981
- Publication Date
- 2008/08/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e91-a.8.1974
- Type of Manuscript
- Special Section PAPER (Special Section on Signal Processing)
- Category
Authors
Keyword
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Akihiro HAYASAKA, Takuma SHIBAHARA, Koichi ITO, Takafumi AOKI, Hiroshi NAKAJIMA, Koji KOBAYASHI, "A Passive 3D Face Recognition System and Its Performance Evaluation" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 8, pp. 1974-1981, August 2008, doi: 10.1093/ietfec/e91-a.8.1974.
Abstract: This paper proposes a three-dimensional (3D) face recognition system using passive stereo vision. So far, the reported 3D face recognition techniques have used active 3D measurement methods to capture high-quality 3D facial information. However, active methods employ structured illumination (structure projection, phase shift, moire topography, etc.) or laser scanning, which is not desirable in many human recognition applications. Addressing this problem, we propose a face recognition system that uses (i) passive stereo vision to capture 3D facial information and (ii) 3D matching using an ICP (Iterative Closest Point) algorithm with its improvement techniques. Experimental evaluation demonstrates efficient recognition performance of the proposed system compared with an active 3D face recognition system and a passive 3D face recognition system employing the original ICP algorithm.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.8.1974/_p
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@ARTICLE{e91-a_8_1974,
author={Akihiro HAYASAKA, Takuma SHIBAHARA, Koichi ITO, Takafumi AOKI, Hiroshi NAKAJIMA, Koji KOBAYASHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Passive 3D Face Recognition System and Its Performance Evaluation},
year={2008},
volume={E91-A},
number={8},
pages={1974-1981},
abstract={This paper proposes a three-dimensional (3D) face recognition system using passive stereo vision. So far, the reported 3D face recognition techniques have used active 3D measurement methods to capture high-quality 3D facial information. However, active methods employ structured illumination (structure projection, phase shift, moire topography, etc.) or laser scanning, which is not desirable in many human recognition applications. Addressing this problem, we propose a face recognition system that uses (i) passive stereo vision to capture 3D facial information and (ii) 3D matching using an ICP (Iterative Closest Point) algorithm with its improvement techniques. Experimental evaluation demonstrates efficient recognition performance of the proposed system compared with an active 3D face recognition system and a passive 3D face recognition system employing the original ICP algorithm.},
keywords={},
doi={10.1093/ietfec/e91-a.8.1974},
ISSN={1745-1337},
month={August},}
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TY - JOUR
TI - A Passive 3D Face Recognition System and Its Performance Evaluation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1974
EP - 1981
AU - Akihiro HAYASAKA
AU - Takuma SHIBAHARA
AU - Koichi ITO
AU - Takafumi AOKI
AU - Hiroshi NAKAJIMA
AU - Koji KOBAYASHI
PY - 2008
DO - 10.1093/ietfec/e91-a.8.1974
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2008
AB - This paper proposes a three-dimensional (3D) face recognition system using passive stereo vision. So far, the reported 3D face recognition techniques have used active 3D measurement methods to capture high-quality 3D facial information. However, active methods employ structured illumination (structure projection, phase shift, moire topography, etc.) or laser scanning, which is not desirable in many human recognition applications. Addressing this problem, we propose a face recognition system that uses (i) passive stereo vision to capture 3D facial information and (ii) 3D matching using an ICP (Iterative Closest Point) algorithm with its improvement techniques. Experimental evaluation demonstrates efficient recognition performance of the proposed system compared with an active 3D face recognition system and a passive 3D face recognition system employing the original ICP algorithm.
ER -
English
