In this paper, we propose a surface-based reconstruction technique which simplifies the process of scene reconstruction and increase reliability. Integrationg grid coding and intensity image analysis methods, discontinuities are classified and stable surfaces which make up the skeleton structure of a room (i.e., wall, ceiling, floor, etc.) are extracted. Local models are then reconstructed under the planar assumption, and merged into the global model. The experimental results show that local errors do not radically alter the adjacency relationships of detected surfaces, so robust reconstruction can be achieved.
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Jun'ichi HOSHINO, Tetsuya UEMURA, Isao MASUDA, "Reconstruction of 3D Scene Using Active and Passive Sensors" in IEICE TRANSACTIONS on Information,
vol. E74-D, no. 10, pp. 3444-3450, October 1991, doi: .
Abstract: In this paper, we propose a surface-based reconstruction technique which simplifies the process of scene reconstruction and increase reliability. Integrationg grid coding and intensity image analysis methods, discontinuities are classified and stable surfaces which make up the skeleton structure of a room (i.e., wall, ceiling, floor, etc.) are extracted. Local models are then reconstructed under the planar assumption, and merged into the global model. The experimental results show that local errors do not radically alter the adjacency relationships of detected surfaces, so robust reconstruction can be achieved.
URL: https://global.ieice.org/en_transactions/information/10.1587/e74-d_10_3444/_p
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@ARTICLE{e74-d_10_3444,
author={Jun'ichi HOSHINO, Tetsuya UEMURA, Isao MASUDA, },
journal={IEICE TRANSACTIONS on Information},
title={Reconstruction of 3D Scene Using Active and Passive Sensors},
year={1991},
volume={E74-D},
number={10},
pages={3444-3450},
abstract={In this paper, we propose a surface-based reconstruction technique which simplifies the process of scene reconstruction and increase reliability. Integrationg grid coding and intensity image analysis methods, discontinuities are classified and stable surfaces which make up the skeleton structure of a room (i.e., wall, ceiling, floor, etc.) are extracted. Local models are then reconstructed under the planar assumption, and merged into the global model. The experimental results show that local errors do not radically alter the adjacency relationships of detected surfaces, so robust reconstruction can be achieved.},
keywords={},
doi={},
ISSN={},
month={October},}
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TY - JOUR
TI - Reconstruction of 3D Scene Using Active and Passive Sensors
T2 - IEICE TRANSACTIONS on Information
SP - 3444
EP - 3450
AU - Jun'ichi HOSHINO
AU - Tetsuya UEMURA
AU - Isao MASUDA
PY - 1991
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E74-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 1991
AB - In this paper, we propose a surface-based reconstruction technique which simplifies the process of scene reconstruction and increase reliability. Integrationg grid coding and intensity image analysis methods, discontinuities are classified and stable surfaces which make up the skeleton structure of a room (i.e., wall, ceiling, floor, etc.) are extracted. Local models are then reconstructed under the planar assumption, and merged into the global model. The experimental results show that local errors do not radically alter the adjacency relationships of detected surfaces, so robust reconstruction can be achieved.
ER -