Shape and Motion Estimation from Geometry and Motion Modeling
Summary :
This paper presents a new approach to shape and motion estimation based on geometric primitives and relations in a model-based framework. A description of a scene in terms of structured geometric elements sharing relationships allows to derive a parametric model with Euclidian constraints, and a camera model is also proposed to reduce the problem dimensionality. It leads to a sequential MAP estimation, that gives accurate and comprehensible results on real images.
- Publication
- IEICE TRANSACTIONS on Information Vol.E84-D No.12 pp.1612-1619
- Publication Date
- 2001/12/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Issue on Machine Vision Applications)
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Pierre-Louis BAZIN, Jean-Marc VEZIEN, "Shape and Motion Estimation from Geometry and Motion Modeling" in IEICE TRANSACTIONS on Information,
vol. E84-D, no. 12, pp. 1612-1619, December 2001, doi: .
Abstract: This paper presents a new approach to shape and motion estimation based on geometric primitives and relations in a model-based framework. A description of a scene in terms of structured geometric elements sharing relationships allows to derive a parametric model with Euclidian constraints, and a camera model is also proposed to reduce the problem dimensionality. It leads to a sequential MAP estimation, that gives accurate and comprehensible results on real images.
URL: https://global.ieice.org/en_transactions/information/10.1587/e84-d_12_1612/_p
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@ARTICLE{e84-d_12_1612,
author={Pierre-Louis BAZIN, Jean-Marc VEZIEN, },
journal={IEICE TRANSACTIONS on Information},
title={Shape and Motion Estimation from Geometry and Motion Modeling},
year={2001},
volume={E84-D},
number={12},
pages={1612-1619},
abstract={This paper presents a new approach to shape and motion estimation based on geometric primitives and relations in a model-based framework. A description of a scene in terms of structured geometric elements sharing relationships allows to derive a parametric model with Euclidian constraints, and a camera model is also proposed to reduce the problem dimensionality. It leads to a sequential MAP estimation, that gives accurate and comprehensible results on real images.},
keywords={},
doi={},
ISSN={},
month={December},}
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TY - JOUR
TI - Shape and Motion Estimation from Geometry and Motion Modeling
T2 - IEICE TRANSACTIONS on Information
SP - 1612
EP - 1619
AU - Pierre-Louis BAZIN
AU - Jean-Marc VEZIEN
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E84-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2001
AB - This paper presents a new approach to shape and motion estimation based on geometric primitives and relations in a model-based framework. A description of a scene in terms of structured geometric elements sharing relationships allows to derive a parametric model with Euclidian constraints, and a camera model is also proposed to reduce the problem dimensionality. It leads to a sequential MAP estimation, that gives accurate and comprehensible results on real images.
ER -
English
