Scene Adaptive Structured Light 3D Imaging

Tomislav Pribanic, Tomislav Petkovic, David Bojanic, Kristijan Bartol, Mohit Gupta

Abstract

A 3D structured light (SL) system is one powerful 3D imaging alternative which in the simplest case is composed of a single camera and a single projector. The performance of 3D SL system has been studied considering many aspects, for example, accuracy and precision, robustness to various imaging factors, applicability to a dynamic scene capture, hardware and image processing complexity, to name but a few. In this work we consider the spatial projector-camera set up and its influence on the uncertainty of points’ depth reconstruction. In particular, we show how a depth precision is in a great extent determined by the angle of pattern projection and the angle of imaging from a projector and a camera, respectively. For a fixed camera projector configuration, those angles are scene dependent for various points in space. Consequently, the attainable depth precision will typically vary considerably across the volume of reconstruction which is not a desirable property. To that end, we study a scene dependent 3D imaging approach during which we propose how to conveniently detect points with a lower depth precision and to influence other factors of a depth precision, in order to improve a depth precision in scene parts where necessary.

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Paper Citation


in Harvard Style

Pribanic T., Petkovic T., Bojanic D., Bartol K. and Gupta M. (2020). Scene Adaptive Structured Light 3D Imaging.In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, ISBN 978-989-758-402-2, pages 576-582. DOI: 10.5220/0009189905760582


in Bibtex Style

@conference{visapp20,
author={Tomislav Pribanic and Tomislav Petkovic and David Bojanic and Kristijan Bartol and Mohit Gupta},
title={Scene Adaptive Structured Light 3D Imaging},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,},
year={2020},
pages={576-582},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009189905760582},
isbn={978-989-758-402-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,
TI - Scene Adaptive Structured Light 3D Imaging
SN - 978-989-758-402-2
AU - Pribanic T.
AU - Petkovic T.
AU - Bojanic D.
AU - Bartol K.
AU - Gupta M.
PY - 2020
SP - 576
EP - 582
DO - 10.5220/0009189905760582