Iterative Color Equalization for Increased Applicability of Structured Light Reconstruction

Torben Fetzer, Gerd Reis, Didier Stricker

Abstract

The field of 3D reconstruction is one of the most important areas in computer vision. It is not only of theoretical importance, but is also increasingly used in practice, be it in reverse engineering, quality control or robotics. A distinction is made between active and passive methods, depending on whether they are based on active interactions with the object or not. Due to the accuracy and density of the reconstructions obtained, the structured light approach, whenever applicable, is often the method of choice for industrial applications. Nevertheless, it is an active approach which, depending on material properties or coloration, can lead to problems and fail in certain situations. In this paper, a method based on the standard structured light approach is presented that significantly reduces the influence of the color of a scanned object. It improves the results obtained by repeated application in terms of accuracy, robustness and general applicability. Especially in high-precision reconstruction of small structures or high-contrast colored and specular objects, the technique shows its greatest potential. The advanced method requires neither pre-calibrated cameras or projectors nor information about the equipment. It is easy to implement and can be applied to any existing scanning setup.

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Paper Citation


in Harvard Style

Fetzer T., Reis G. and Stricker D. (2020). Iterative Color Equalization for Increased Applicability of Structured Light Reconstruction.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 725-732. DOI: 10.5220/0008879607250732


in Bibtex Style

@conference{visapp20,
author={Torben Fetzer and Gerd Reis and Didier Stricker},
title={Iterative Color Equalization for Increased Applicability of Structured Light Reconstruction},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,},
year={2020},
pages={725-732},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008879607250732},
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 - Iterative Color Equalization for Increased Applicability of Structured Light Reconstruction
SN - 978-989-758-402-2
AU - Fetzer T.
AU - Reis G.
AU - Stricker D.
PY - 2020
SP - 725
EP - 732
DO - 10.5220/0008879607250732