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Authors: Thilo Borgmann and Thomas Sikora

Affiliation: Technische Universität Berlin, Germany

Keyword(s): Multi View Stereo, Stereo Matching, Depth Estimation, Depth Map Fusion.

Related Ontology Subjects/Areas/Topics: Applications ; 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: Estimating depth from a video sequence is still a challenging task in computer vision with numerous applications. Like other authors we utilize two major concepts developed in this field to achieve that task which are the hierarchical estimation of depth within an image pyramid as well as the fusion of depth maps from different views. We compare the application of various local matching methods within such a combined approach and can show the relative performance of local image guided methods in contrast to commonly used fixed–window aggregation. Since efficient implementations of these image guided methods exist and the available hardware is rapidly enhanced, the disadvantage of their more complex but also parallel computation vanishes and they will become feasible for more applications.

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Paper citation in several formats:
Borgmann, T. and Sikora, T. (2013). Image Guided Cost Aggregation for Hierarchical Depth Map Fusion. 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 199-207. DOI: 10.5220/0004212901990207

@conference{visapp13,
author={Thilo Borgmann. and Thomas Sikora.},
title={Image Guided Cost Aggregation for Hierarchical Depth Map Fusion},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP},
year={2013},
pages={199-207},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004212901990207},
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 - Image Guided Cost Aggregation for Hierarchical Depth Map Fusion
SN - 978-989-8565-48-8
IS - 2184-4321
AU - Borgmann, T.
AU - Sikora, T.
PY - 2013
SP - 199
EP - 207
DO - 10.5220/0004212901990207
PB - SciTePress