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Authors: Dennis W. J. M. van de Wouw 1 ; Willem P. Sanberg 2 ; Gijs Dubbelman 2 and Peter H. N. de With 2

Affiliations: 1 Eindhoven University of Technology and ViNotion B.V., Netherlands ; 2 Eindhoven University of Technology, Netherlands

Keyword(s): Image Registration, Real-time, View Synthesis, Stixel-World.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image and Video Analysis ; Image Registration ; Image-Based Modeling ; Pattern Recognition ; Robotics ; Software Engineering

Abstract: Scene alignment for images recorded from different viewpoints is a challenging task, especially considering strong parallax effects. This work proposes a diorama-box model for a 2.5D hierarchical alignment approach, which is specifically designed for image registration from a moving vehicle using a stereo camera. For this purpose, the Stixel World algorithm is used to partition the scene into super-pixels, which are transformed to 3D. This model is further refined by assigning a slanting orientation to each stixel and by interpolating between stixels, to prevent gaps in the 3D model. The resulting alignment shows promising results, where under normal viewing conditions, more than 96% of all annotated points are registered with an alignment error up to 5 pixels at a resolution of 1920x1440 pixels, executing at near-real time performance (4 fps) for the intended application.

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Paper citation in several formats:
van de Wouw, D.; Sanberg, W.; Dubbelman, G. and de With, P. (2018). Fast 3D Scene Alignment with Stereo Images using a Stixel-based 3D Model. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP; ISBN 978-989-758-290-5; ISSN 2184-4321, SciTePress, pages 250-259. DOI: 10.5220/0006535302500259

@conference{visapp18,
author={Dennis W. J. M. {van de Wouw}. and Willem P. Sanberg. and Gijs Dubbelman. and Peter H. N. {de With}.},
title={Fast 3D Scene Alignment with Stereo Images using a Stixel-based 3D Model},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP},
year={2018},
pages={250-259},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006535302500259},
isbn={978-989-758-290-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP
TI - Fast 3D Scene Alignment with Stereo Images using a Stixel-based 3D Model
SN - 978-989-758-290-5
IS - 2184-4321
AU - van de Wouw, D.
AU - Sanberg, W.
AU - Dubbelman, G.
AU - de With, P.
PY - 2018
SP - 250
EP - 259
DO - 10.5220/0006535302500259
PB - SciTePress