IEICE TRANSACTIONS on Information
Human Foot Reconstruction from Multiple Camera Images with Foot Shape Database
Summary :
Recently, researches and developments for measuring and modeling of the human body have been receiving much attention. Our aim is to reconstruct an accurate shape of a human foot from multiple camera images, which can capture dynamic behavior of the object. In this paper, a foot-shape database is used for accurate reconstruction of human foot. By using Principal Component Analysis, the foot shape can be represented with new meaningful variables. The dimensionality of the data is also reduced. Thus, the shape of object can be recovered efficiently, even though the object is partially occluded in some input views. To demonstrate the proposed method, two kinds of experiments are presented: reconstruction of human foot in a virtual reality environment with CG multi-camera images, and in real world with eight CCD cameras. In the experiments, the reconstructed shape error with our method is around 2 mm in average, while the error is more than 4 mm with conventional volume intersection method.
- Publication
- IEICE TRANSACTIONS on Information Vol.E89-D No.5 pp.1732-1742
- Publication Date
- 2006/05/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1093/ietisy/e89-d.5.1732
- Type of Manuscript
- PAPER
- Category
- Image Recognition, Computer Vision
Authors
Keyword
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Jiahui WANG, Hideo SAITO, Makoto KIMURA, Masaaki MOCHIMARU, Takeo KANADE, "Human Foot Reconstruction from Multiple Camera Images with Foot Shape Database" in IEICE TRANSACTIONS on Information,
vol. E89-D, no. 5, pp. 1732-1742, May 2006, doi: 10.1093/ietisy/e89-d.5.1732.
Abstract: Recently, researches and developments for measuring and modeling of the human body have been receiving much attention. Our aim is to reconstruct an accurate shape of a human foot from multiple camera images, which can capture dynamic behavior of the object. In this paper, a foot-shape database is used for accurate reconstruction of human foot. By using Principal Component Analysis, the foot shape can be represented with new meaningful variables. The dimensionality of the data is also reduced. Thus, the shape of object can be recovered efficiently, even though the object is partially occluded in some input views. To demonstrate the proposed method, two kinds of experiments are presented: reconstruction of human foot in a virtual reality environment with CG multi-camera images, and in real world with eight CCD cameras. In the experiments, the reconstructed shape error with our method is around 2 mm in average, while the error is more than 4 mm with conventional volume intersection method.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e89-d.5.1732/_p
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@ARTICLE{e89-d_5_1732,
author={Jiahui WANG, Hideo SAITO, Makoto KIMURA, Masaaki MOCHIMARU, Takeo KANADE, },
journal={IEICE TRANSACTIONS on Information},
title={Human Foot Reconstruction from Multiple Camera Images with Foot Shape Database},
year={2006},
volume={E89-D},
number={5},
pages={1732-1742},
abstract={Recently, researches and developments for measuring and modeling of the human body have been receiving much attention. Our aim is to reconstruct an accurate shape of a human foot from multiple camera images, which can capture dynamic behavior of the object. In this paper, a foot-shape database is used for accurate reconstruction of human foot. By using Principal Component Analysis, the foot shape can be represented with new meaningful variables. The dimensionality of the data is also reduced. Thus, the shape of object can be recovered efficiently, even though the object is partially occluded in some input views. To demonstrate the proposed method, two kinds of experiments are presented: reconstruction of human foot in a virtual reality environment with CG multi-camera images, and in real world with eight CCD cameras. In the experiments, the reconstructed shape error with our method is around 2 mm in average, while the error is more than 4 mm with conventional volume intersection method.},
keywords={},
doi={10.1093/ietisy/e89-d.5.1732},
ISSN={1745-1361},
month={May},}
Copy
TY - JOUR
TI - Human Foot Reconstruction from Multiple Camera Images with Foot Shape Database
T2 - IEICE TRANSACTIONS on Information
SP - 1732
EP - 1742
AU - Jiahui WANG
AU - Hideo SAITO
AU - Makoto KIMURA
AU - Masaaki MOCHIMARU
AU - Takeo KANADE
PY - 2006
DO - 10.1093/ietisy/e89-d.5.1732
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E89-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2006
AB - Recently, researches and developments for measuring and modeling of the human body have been receiving much attention. Our aim is to reconstruct an accurate shape of a human foot from multiple camera images, which can capture dynamic behavior of the object. In this paper, a foot-shape database is used for accurate reconstruction of human foot. By using Principal Component Analysis, the foot shape can be represented with new meaningful variables. The dimensionality of the data is also reduced. Thus, the shape of object can be recovered efficiently, even though the object is partially occluded in some input views. To demonstrate the proposed method, two kinds of experiments are presented: reconstruction of human foot in a virtual reality environment with CG multi-camera images, and in real world with eight CCD cameras. In the experiments, the reconstructed shape error with our method is around 2 mm in average, while the error is more than 4 mm with conventional volume intersection method.
ER -
English
