IEICE TRANSACTIONS on Fundamentals
A Robust 3D Face Recognition Algorithm Using Passive Stereo Vision
Summary :
The recognition performance of the conventional 3D face recognition algorithm using ICP (Iterative Closest Point) is degraded for the 3D face data with expression changes. Addressing this problem, we consider the use of the expression-invariant local regions of a face. We find the expression-invariant regions through the distance analysis between 3D face data with the neutral expression and smile, and propose a robust 3D face recognition algorithm using passive stereo vision. We demonstrate efficient recognition performance of the proposed algorithm compared with the conventional ICP-based algorithm through the experiment using a stereo face image database which includes the face images with expression changes.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E92-A No.4 pp.1047-1055
- Publication Date
- 2009/04/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E92.A.1047
- Type of Manuscript
- Special Section PAPER (Special Section on Advanced Technologies Emerging Mainly from the 21st Workshop on Circuits and Systems in Karuizawa)
- Category
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Akihiro HAYASAKA, Koichi ITO, Takafumi AOKI, Hiroshi NAKAJIMA, Koji KOBAYASHI, "A Robust 3D Face Recognition Algorithm Using Passive Stereo Vision" in IEICE TRANSACTIONS on Fundamentals,
vol. E92-A, no. 4, pp. 1047-1055, April 2009, doi: 10.1587/transfun.E92.A.1047.
Abstract: The recognition performance of the conventional 3D face recognition algorithm using ICP (Iterative Closest Point) is degraded for the 3D face data with expression changes. Addressing this problem, we consider the use of the expression-invariant local regions of a face. We find the expression-invariant regions through the distance analysis between 3D face data with the neutral expression and smile, and propose a robust 3D face recognition algorithm using passive stereo vision. We demonstrate efficient recognition performance of the proposed algorithm compared with the conventional ICP-based algorithm through the experiment using a stereo face image database which includes the face images with expression changes.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E92.A.1047/_p
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@ARTICLE{e92-a_4_1047,
author={Akihiro HAYASAKA, Koichi ITO, Takafumi AOKI, Hiroshi NAKAJIMA, Koji KOBAYASHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Robust 3D Face Recognition Algorithm Using Passive Stereo Vision},
year={2009},
volume={E92-A},
number={4},
pages={1047-1055},
abstract={The recognition performance of the conventional 3D face recognition algorithm using ICP (Iterative Closest Point) is degraded for the 3D face data with expression changes. Addressing this problem, we consider the use of the expression-invariant local regions of a face. We find the expression-invariant regions through the distance analysis between 3D face data with the neutral expression and smile, and propose a robust 3D face recognition algorithm using passive stereo vision. We demonstrate efficient recognition performance of the proposed algorithm compared with the conventional ICP-based algorithm through the experiment using a stereo face image database which includes the face images with expression changes.},
keywords={},
doi={10.1587/transfun.E92.A.1047},
ISSN={1745-1337},
month={April},}
Copy
TY - JOUR
TI - A Robust 3D Face Recognition Algorithm Using Passive Stereo Vision
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1047
EP - 1055
AU - Akihiro HAYASAKA
AU - Koichi ITO
AU - Takafumi AOKI
AU - Hiroshi NAKAJIMA
AU - Koji KOBAYASHI
PY - 2009
DO - 10.1587/transfun.E92.A.1047
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E92-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2009
AB - The recognition performance of the conventional 3D face recognition algorithm using ICP (Iterative Closest Point) is degraded for the 3D face data with expression changes. Addressing this problem, we consider the use of the expression-invariant local regions of a face. We find the expression-invariant regions through the distance analysis between 3D face data with the neutral expression and smile, and propose a robust 3D face recognition algorithm using passive stereo vision. We demonstrate efficient recognition performance of the proposed algorithm compared with the conventional ICP-based algorithm through the experiment using a stereo face image database which includes the face images with expression changes.
ER -
English
