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Authors: Daniel Kurz 1 ; Peter Georg Meier 1 ; Alexander Plopski 2 and Gudrun Klinker 3

Affiliations: 1 metaio GmbH, Germany ; 2 Osaka University, Japan ; 3 Technische Universität München, Germany

ISBN: 978-989-758-004-8

Keyword(s): Visual Feature Descriptors, Repetitiveness, Camera Localization, Inertial Sensors, Magnetometer, GPS.

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: We present a framework that enables 6DoF camera localization in outdoor environments by providing visual feature descriptors with an Absolute Spatial Context (ASPAC). These descriptors combine visual information from the image patch around a feature with spatial information, based on a model of the environment and the readings of sensors attached to the camera, such as GPS, accelerometers, and a digital compass. The result is a more distinct description of features in the camera image, which correspond to 3D points in the environment. This is particularly helpful in urban environments containing large amounts of repetitive visual features. Additionally, we describe the first comprehensive test database for outdoor handheld camera localization comprising of over 45,000 real camera images of an urban environment, captured under natural camera motions and different illumination settings. For all these images, the dataset not only contains readings of the sensors attached to the camera, b ut also ground truth information on the full 6DoF camera pose, and the geometry and texture of the environment. Based on this dataset, which we have made available to the public, we show that using our proposed framework provides both faster matching and better localization results compared to state-of-the-art methods. (More)

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Paper citation in several formats:
Kurz D., Meier P., Plopski A. and Klinker G. (2014). Absolute Spatial Context-aware Visual Feature Descriptors for Outdoor Handheld Camera Localization - Overcoming Visual Repetitiveness in Urban Environments.In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014)ISBN 978-989-758-004-8, pages 56-67. DOI: 10.5220/0004683300560067

@conference{visapp14,
author={Daniel Kurz and Peter Georg Meier and Alexander Plopski and Gudrun Klinker},
title={Absolute Spatial Context-aware Visual Feature Descriptors for Outdoor Handheld Camera Localization - Overcoming Visual Repetitiveness in Urban Environments},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014)},
year={2014},
pages={56-67},
doi={10.5220/0004683300560067},
isbn={978-989-758-004-8},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014)
TI - Absolute Spatial Context-aware Visual Feature Descriptors for Outdoor Handheld Camera Localization - Overcoming Visual Repetitiveness in Urban Environments
SN - 978-989-758-004-8
AU - Kurz D.
AU - Meier P.
AU - Plopski A.
AU - Klinker G.
PY - 2014
SP - 56
EP - 67
DO - 10.5220/0004683300560067

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