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Authors: Martin Schumann ; Bernhard Reinert and Stefan Mueller

Affiliation: University of Koblenz, Germany

ISBN: 978-989-8565-04-4

Keyword(s): Camera Pose Tracking, Model Features, Correspondences, Non-linear Optimization.

Related Ontology Subjects/Areas/Topics: Active and Robot Vision ; Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Tracking and Visual Navigation

Abstract: In markerless model-based tracking approaches image features as points or straight lines are used to estimate the pose. We introduce an analysis of parametrizations of the pose data as well as of error measurements between 2D image features and 3D model data. Further, we give a review of critical geometrical configurations as they can appear on the input data. From these results the best parameter choice for a non-linear pose estimator is proposed that is optimal by construction to handle a combined input of feature correspondences and works on an arbitrary number and choice of feature type. It uses the knowledge of the 3D model to analyze the input data for critical geometrical configurations.

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Paper citation in several formats:
Schumann, M.; Schumann, M.; Reinert, B. and Mueller, S. (2012). PARAMETER AND CONFIGURATION ANALYSIS FOR NON-LINEAR POSE ESTIMATION WITH POINTS AND LINES.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-04-4, pages 271-276. DOI: 10.5220/0003827402710276

@conference{visapp12,
author={Martin Schumann. and Martin Schumann. and Bernhard Reinert. and Stefan Mueller.},
title={PARAMETER AND CONFIGURATION ANALYSIS FOR NON-LINEAR POSE ESTIMATION WITH POINTS AND LINES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={271-276},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003827402710276},
isbn={978-989-8565-04-4},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)
TI - PARAMETER AND CONFIGURATION ANALYSIS FOR NON-LINEAR POSE ESTIMATION WITH POINTS AND LINES
SN - 978-989-8565-04-4
AU - Schumann, M.
AU - Schumann, M.
AU - Reinert, B.
AU - Mueller, S.
PY - 2012
SP - 271
EP - 276
DO - 10.5220/0003827402710276

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