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.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copy
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
Copy
@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},}
Copy
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 -