IEICE TRANSACTIONS on Information
Computing Spatio-Temporal Multiple View Geometry from Mutual Projections of Multiple Cameras
Summary :
The spatio-temporal multiple view geometry can represent the geometry of multiple images in the case where non-rigid arbitrary motions are viewed from multiple translational cameras. However, it requires many corresponding points and is sensitive to the image noise. In this paper, we investigate mutual projections of cameras in four-dimensional space and show that it enables us to reduce the number of corresponding points required for computing the spatio-temporal multiple view geometry. Surprisingly, take three views for instance, we no longer need any corresponding point to calculate the spatio-temporal multiple view geometry, if all the cameras are projected to the other cameras mutually for two time intervals. We also show that the stability of the computation of spatio-temporal multiple view geometry is drastically improved by considering the mutual projections of cameras.
- Publication
- IEICE TRANSACTIONS on Information Vol.E93-D No.9 pp.2602-2613
- Publication Date
- 2010/09/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E93.D.2602
- Type of Manuscript
- PAPER
- Category
- Image Recognition, Computer Vision
Authors
Keyword
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Cheng WAN, Jun SATO, "Computing Spatio-Temporal Multiple View Geometry from Mutual Projections of Multiple Cameras" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 9, pp. 2602-2613, September 2010, doi: 10.1587/transinf.E93.D.2602.
Abstract: The spatio-temporal multiple view geometry can represent the geometry of multiple images in the case where non-rigid arbitrary motions are viewed from multiple translational cameras. However, it requires many corresponding points and is sensitive to the image noise. In this paper, we investigate mutual projections of cameras in four-dimensional space and show that it enables us to reduce the number of corresponding points required for computing the spatio-temporal multiple view geometry. Surprisingly, take three views for instance, we no longer need any corresponding point to calculate the spatio-temporal multiple view geometry, if all the cameras are projected to the other cameras mutually for two time intervals. We also show that the stability of the computation of spatio-temporal multiple view geometry is drastically improved by considering the mutual projections of cameras.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.2602/_p
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@ARTICLE{e93-d_9_2602,
author={Cheng WAN, Jun SATO, },
journal={IEICE TRANSACTIONS on Information},
title={Computing Spatio-Temporal Multiple View Geometry from Mutual Projections of Multiple Cameras},
year={2010},
volume={E93-D},
number={9},
pages={2602-2613},
abstract={The spatio-temporal multiple view geometry can represent the geometry of multiple images in the case where non-rigid arbitrary motions are viewed from multiple translational cameras. However, it requires many corresponding points and is sensitive to the image noise. In this paper, we investigate mutual projections of cameras in four-dimensional space and show that it enables us to reduce the number of corresponding points required for computing the spatio-temporal multiple view geometry. Surprisingly, take three views for instance, we no longer need any corresponding point to calculate the spatio-temporal multiple view geometry, if all the cameras are projected to the other cameras mutually for two time intervals. We also show that the stability of the computation of spatio-temporal multiple view geometry is drastically improved by considering the mutual projections of cameras.},
keywords={},
doi={10.1587/transinf.E93.D.2602},
ISSN={1745-1361},
month={September},}
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TY - JOUR
TI - Computing Spatio-Temporal Multiple View Geometry from Mutual Projections of Multiple Cameras
T2 - IEICE TRANSACTIONS on Information
SP - 2602
EP - 2613
AU - Cheng WAN
AU - Jun SATO
PY - 2010
DO - 10.1587/transinf.E93.D.2602
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2010
AB - The spatio-temporal multiple view geometry can represent the geometry of multiple images in the case where non-rigid arbitrary motions are viewed from multiple translational cameras. However, it requires many corresponding points and is sensitive to the image noise. In this paper, we investigate mutual projections of cameras in four-dimensional space and show that it enables us to reduce the number of corresponding points required for computing the spatio-temporal multiple view geometry. Surprisingly, take three views for instance, we no longer need any corresponding point to calculate the spatio-temporal multiple view geometry, if all the cameras are projected to the other cameras mutually for two time intervals. We also show that the stability of the computation of spatio-temporal multiple view geometry is drastically improved by considering the mutual projections of cameras.
ER -
English
