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Authors: Martin Schumann ; Jan Hoppenheit and Stefan Müller

Affiliation: University of Koblenz, Germany

ISBN: 978-989-758-009-3

ISSN: 2184-4321

Keyword(s): Camera, Pose, Tracking, Model, Feature, Evaluation, Management.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Image Registration ; Motion, Tracking and Stereo Vision ; Tracking and Visual Navigation

Abstract: Our tracking approach uses feature evaluation and management to estimate the camera pose on the camera image and a given geometric model. The aim is to gain a minimal but qualitative set of 2D image line and 3D model edge correspondences to improve accuracy and computation time. Reducing the amount of feature data makes it possible to use any complex model for tracking. Additionally, the presence of a 3D model delivers useful information to predict reliable features which can be matched in the camera image with high probability avoiding possible false matches. Therefore, a quality measure is defined to evaluate and select features best fitted for tracking upon criteria from rendering process and knowledge about the environment like geometry and topology, perspective projection, light and matching success feedback. We test the feature management to analyze the importance and influence of each quality criterion on the tracking and to find an optimal weighting.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Schumann, M.; Hoppenheit, J. and Müller, S. (2014). Feature Evaluation and Management for Camera Pose Tracking on 3D Models.In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-009-3, ISSN 2184-4321, pages 562-569. DOI: 10.5220/0004685905620569

@conference{visapp14,
author={Martin Schumann. and Jan Hoppenheit. and Stefan Müller.},
title={Feature Evaluation and Management for Camera Pose Tracking on 3D Models},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={562-569},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004685905620569},
isbn={978-989-758-009-3},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014)
TI - Feature Evaluation and Management for Camera Pose Tracking on 3D Models
SN - 978-989-758-009-3
AU - Schumann, M.
AU - Hoppenheit, J.
AU - Müller, S.
PY - 2014
SP - 562
EP - 569
DO - 10.5220/0004685905620569

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