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Authors: Cornelius Wefelscheid and Olaf Hellwich

Affiliation: Berlin University of Technology, Germany

Keyword(s): Least Squares Optimization, Bundle Adjustment, Levenberg Marquardt, GPU, Open Source.

Related Ontology Subjects/Areas/Topics: Applications ; Applications and Services ; Camera Networks and Vision ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image-Based Modeling ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Software Engineering ; Stereo Vision and Structure from Motion

Abstract: In the area of computer vision and robotics non-linear optimization methods have become an important tool. For instance, all structure from motion approaches apply optimizations such as bundle adjustment (BA). Most often, the structure of the problem is sparse regarding the functional relations of parameters and measurements. The sparsity of the system has to be modeled within the optimization in order to achieve good performance. With OpenOF, a framework is presented, which enables developers to design sparse optimizations regarding parameters and measurements and utilize the parallel power of a GPU. We demonstrate the universality of our framework using BA as example. The performance and accuracy is compared to published implementations for synthetic and real world data.

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Paper citation in several formats:
Wefelscheid, C. and Hellwich, O. (2013). OpenOF - Framework for Sparse Non-linear Least Squares Optimization on a GPU. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP; ISBN 978-989-8565-48-8; ISSN 2184-4321, SciTePress, pages 260-267. DOI: 10.5220/0004282702600267

@conference{visapp13,
author={Cornelius Wefelscheid. and Olaf Hellwich.},
title={OpenOF - Framework for Sparse Non-linear Least Squares Optimization on a GPU},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP},
year={2013},
pages={260-267},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004282702600267},
isbn={978-989-8565-48-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP
TI - OpenOF - Framework for Sparse Non-linear Least Squares Optimization on a GPU
SN - 978-989-8565-48-8
IS - 2184-4321
AU - Wefelscheid, C.
AU - Hellwich, O.
PY - 2013
SP - 260
EP - 267
DO - 10.5220/0004282702600267
PB - SciTePress