IEICE TRANSACTIONS on Information
A Method for Solving Configuration Problem in Scene Reconstruction Based on Coplanarity
Summary :
We can understand and recover a scene even from a picture or a line drawing. A number of methods have been developed for solving this problem. They have scarcely aimed to deal with scenes of multiple objects although they have ability to recognize three-dimensional shapes of every object. In this paper, challenging to solve this problem, we describe a method for deciding configurations of multiple objects. This method employs the assumption of coplanarity and the constraint of occlusion. The assumption of coplanarity generates the candidates of configurations of multiple objects and the constraint of occlusion prunes impossible configurations. By combining this method with a method of shape recovery for individual objects, we have implemented a system acquirig a three-dimensional information of scene including multiple objects from a monocular image.
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- IEICE TRANSACTIONS on Information Vol.E77-D No.9 pp.958-965
- Publication Date
- 1994/09/25
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- Type of Manuscript
- Special Section PAPER (Special Issue on 3D Image Processing)
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Seiichiro DAN, Toshiyasu NAKAO, Tadahiro KITAHASHI, "A Method for Solving Configuration Problem in Scene Reconstruction Based on Coplanarity" in IEICE TRANSACTIONS on Information,
vol. E77-D, no. 9, pp. 958-965, September 1994, doi: .
Abstract: We can understand and recover a scene even from a picture or a line drawing. A number of methods have been developed for solving this problem. They have scarcely aimed to deal with scenes of multiple objects although they have ability to recognize three-dimensional shapes of every object. In this paper, challenging to solve this problem, we describe a method for deciding configurations of multiple objects. This method employs the assumption of coplanarity and the constraint of occlusion. The assumption of coplanarity generates the candidates of configurations of multiple objects and the constraint of occlusion prunes impossible configurations. By combining this method with a method of shape recovery for individual objects, we have implemented a system acquirig a three-dimensional information of scene including multiple objects from a monocular image.
URL: https://global.ieice.org/en_transactions/information/10.1587/e77-d_9_958/_p
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@ARTICLE{e77-d_9_958,
author={Seiichiro DAN, Toshiyasu NAKAO, Tadahiro KITAHASHI, },
journal={IEICE TRANSACTIONS on Information},
title={A Method for Solving Configuration Problem in Scene Reconstruction Based on Coplanarity},
year={1994},
volume={E77-D},
number={9},
pages={958-965},
abstract={We can understand and recover a scene even from a picture or a line drawing. A number of methods have been developed for solving this problem. They have scarcely aimed to deal with scenes of multiple objects although they have ability to recognize three-dimensional shapes of every object. In this paper, challenging to solve this problem, we describe a method for deciding configurations of multiple objects. This method employs the assumption of coplanarity and the constraint of occlusion. The assumption of coplanarity generates the candidates of configurations of multiple objects and the constraint of occlusion prunes impossible configurations. By combining this method with a method of shape recovery for individual objects, we have implemented a system acquirig a three-dimensional information of scene including multiple objects from a monocular image.},
keywords={},
doi={},
ISSN={},
month={September},}
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TY - JOUR
TI - A Method for Solving Configuration Problem in Scene Reconstruction Based on Coplanarity
T2 - IEICE TRANSACTIONS on Information
SP - 958
EP - 965
AU - Seiichiro DAN
AU - Toshiyasu NAKAO
AU - Tadahiro KITAHASHI
PY - 1994
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E77-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 1994
AB - We can understand and recover a scene even from a picture or a line drawing. A number of methods have been developed for solving this problem. They have scarcely aimed to deal with scenes of multiple objects although they have ability to recognize three-dimensional shapes of every object. In this paper, challenging to solve this problem, we describe a method for deciding configurations of multiple objects. This method employs the assumption of coplanarity and the constraint of occlusion. The assumption of coplanarity generates the candidates of configurations of multiple objects and the constraint of occlusion prunes impossible configurations. By combining this method with a method of shape recovery for individual objects, we have implemented a system acquirig a three-dimensional information of scene including multiple objects from a monocular image.
ER -
English
