Integration of 2・1/2D sketches obtained at different observing stations into a consistent world (or object) representation is one of the central issues in computer vision and robotics. The resolution and accuracy of 2・1/2D sketches may be different from one view point to another, and inconsistent data between different observations may occur. This paper presents one approach to building a 3-D world representation from range image sequences for road scenes including moving objects. First, a range image is transformed into a height map representing the height information from the ground plane on which the observer is assumed to lie, then it is segmented into the ground plane and objects on it. In order to capture the resolution and accuracy of the range data and to reprsent the consistency of the height information between different height maps, we define a reliability of the height information for each grid on the height map. Using the reliability, the system finds the correspondences of both static and moving objects between different observations, and successively refines the height information and its reliability with newly acquired data, dealing with inconsistent data. We show the results applied to road scenes which are physically simulated by landscape toy models using a range finder based on the structured light.
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Minoru ASADA, Masahiro KIMURA, Yoshiaki SHIRAI, "Building a 3-D World Representation for Dynamic Scenes from Range Image Sequences" in IEICE TRANSACTIONS on Information,
vol. E74-D, no. 10, pp. 3433-3443, October 1991, doi: .
Abstract: Integration of 2・1/2D sketches obtained at different observing stations into a consistent world (or object) representation is one of the central issues in computer vision and robotics. The resolution and accuracy of 2・1/2D sketches may be different from one view point to another, and inconsistent data between different observations may occur. This paper presents one approach to building a 3-D world representation from range image sequences for road scenes including moving objects. First, a range image is transformed into a height map representing the height information from the ground plane on which the observer is assumed to lie, then it is segmented into the ground plane and objects on it. In order to capture the resolution and accuracy of the range data and to reprsent the consistency of the height information between different height maps, we define a reliability of the height information for each grid on the height map. Using the reliability, the system finds the correspondences of both static and moving objects between different observations, and successively refines the height information and its reliability with newly acquired data, dealing with inconsistent data. We show the results applied to road scenes which are physically simulated by landscape toy models using a range finder based on the structured light.
URL: https://global.ieice.org/en_transactions/information/10.1587/e74-d_10_3433/_p
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@ARTICLE{e74-d_10_3433,
author={Minoru ASADA, Masahiro KIMURA, Yoshiaki SHIRAI, },
journal={IEICE TRANSACTIONS on Information},
title={Building a 3-D World Representation for Dynamic Scenes from Range Image Sequences},
year={1991},
volume={E74-D},
number={10},
pages={3433-3443},
abstract={Integration of 2・1/2D sketches obtained at different observing stations into a consistent world (or object) representation is one of the central issues in computer vision and robotics. The resolution and accuracy of 2・1/2D sketches may be different from one view point to another, and inconsistent data between different observations may occur. This paper presents one approach to building a 3-D world representation from range image sequences for road scenes including moving objects. First, a range image is transformed into a height map representing the height information from the ground plane on which the observer is assumed to lie, then it is segmented into the ground plane and objects on it. In order to capture the resolution and accuracy of the range data and to reprsent the consistency of the height information between different height maps, we define a reliability of the height information for each grid on the height map. Using the reliability, the system finds the correspondences of both static and moving objects between different observations, and successively refines the height information and its reliability with newly acquired data, dealing with inconsistent data. We show the results applied to road scenes which are physically simulated by landscape toy models using a range finder based on the structured light.},
keywords={},
doi={},
ISSN={},
month={October},}
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TY - JOUR
TI - Building a 3-D World Representation for Dynamic Scenes from Range Image Sequences
T2 - IEICE TRANSACTIONS on Information
SP - 3433
EP - 3443
AU - Minoru ASADA
AU - Masahiro KIMURA
AU - Yoshiaki SHIRAI
PY - 1991
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E74-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 1991
AB - Integration of 2・1/2D sketches obtained at different observing stations into a consistent world (or object) representation is one of the central issues in computer vision and robotics. The resolution and accuracy of 2・1/2D sketches may be different from one view point to another, and inconsistent data between different observations may occur. This paper presents one approach to building a 3-D world representation from range image sequences for road scenes including moving objects. First, a range image is transformed into a height map representing the height information from the ground plane on which the observer is assumed to lie, then it is segmented into the ground plane and objects on it. In order to capture the resolution and accuracy of the range data and to reprsent the consistency of the height information between different height maps, we define a reliability of the height information for each grid on the height map. Using the reliability, the system finds the correspondences of both static and moving objects between different observations, and successively refines the height information and its reliability with newly acquired data, dealing with inconsistent data. We show the results applied to road scenes which are physically simulated by landscape toy models using a range finder based on the structured light.
ER -