IEICE TRANSACTIONS on Communications
Representation of Dynamic 3D Objects Using the Coaxial Camera System
Summary :
3D model-based coding methods that need 3D reconstruction techniques are proposed for next-generation image coding methods. A method is presented that reconstructs 3D shapes of dynamic objects from image sequences captured using two cameras, thus avoiding the stereo correspondence problem. A coaxial camera system consisting of one moving and one static camera was developed. The optical axes of both cameras are precisely adjusted and have the same orientation using an optical system with true and half mirrors. The moving camera is moved along a straight horizontal line. This method can reconstruct 3D shapes of static objects as well as dynamic objects using motion vectors calculated from the moving camera images and revised using the static camera image. The method was tested successfully on real images by reconstructing a moving human shape.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E79-B No.10 pp.1484-1490
- Publication Date
- 1996/10/25
- Publicized
- Online ISSN
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- Type of Manuscript
- Special Section PAPER (Special Issue on Very Low Bit-Rate Video Coding)
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Takayuki YASUNO, Jun'ichi ICHIMURA, Yasuhiko YASUDA, "Representation of Dynamic 3D Objects Using the Coaxial Camera System" in IEICE TRANSACTIONS on Communications,
vol. E79-B, no. 10, pp. 1484-1490, October 1996, doi: .
Abstract: 3D model-based coding methods that need 3D reconstruction techniques are proposed for next-generation image coding methods. A method is presented that reconstructs 3D shapes of dynamic objects from image sequences captured using two cameras, thus avoiding the stereo correspondence problem. A coaxial camera system consisting of one moving and one static camera was developed. The optical axes of both cameras are precisely adjusted and have the same orientation using an optical system with true and half mirrors. The moving camera is moved along a straight horizontal line. This method can reconstruct 3D shapes of static objects as well as dynamic objects using motion vectors calculated from the moving camera images and revised using the static camera image. The method was tested successfully on real images by reconstructing a moving human shape.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e79-b_10_1484/_p
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@ARTICLE{e79-b_10_1484,
author={Takayuki YASUNO, Jun'ichi ICHIMURA, Yasuhiko YASUDA, },
journal={IEICE TRANSACTIONS on Communications},
title={Representation of Dynamic 3D Objects Using the Coaxial Camera System},
year={1996},
volume={E79-B},
number={10},
pages={1484-1490},
abstract={3D model-based coding methods that need 3D reconstruction techniques are proposed for next-generation image coding methods. A method is presented that reconstructs 3D shapes of dynamic objects from image sequences captured using two cameras, thus avoiding the stereo correspondence problem. A coaxial camera system consisting of one moving and one static camera was developed. The optical axes of both cameras are precisely adjusted and have the same orientation using an optical system with true and half mirrors. The moving camera is moved along a straight horizontal line. This method can reconstruct 3D shapes of static objects as well as dynamic objects using motion vectors calculated from the moving camera images and revised using the static camera image. The method was tested successfully on real images by reconstructing a moving human shape.},
keywords={},
doi={},
ISSN={},
month={October},}
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TY - JOUR
TI - Representation of Dynamic 3D Objects Using the Coaxial Camera System
T2 - IEICE TRANSACTIONS on Communications
SP - 1484
EP - 1490
AU - Takayuki YASUNO
AU - Jun'ichi ICHIMURA
AU - Yasuhiko YASUDA
PY - 1996
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E79-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 1996
AB - 3D model-based coding methods that need 3D reconstruction techniques are proposed for next-generation image coding methods. A method is presented that reconstructs 3D shapes of dynamic objects from image sequences captured using two cameras, thus avoiding the stereo correspondence problem. A coaxial camera system consisting of one moving and one static camera was developed. The optical axes of both cameras are precisely adjusted and have the same orientation using an optical system with true and half mirrors. The moving camera is moved along a straight horizontal line. This method can reconstruct 3D shapes of static objects as well as dynamic objects using motion vectors calculated from the moving camera images and revised using the static camera image. The method was tested successfully on real images by reconstructing a moving human shape.
ER -
English
