Reconstructing Textureless Objects - Image Enhancement for 3D Reconstruction of Weakly-Textured Surfaces

Nader H. Aldeeb, Olaf Hellwich

Abstract

Photogrammetric techniques for 3D reconstruction of weakly-textured surfaces are challenging. This paper proposes a new method to enhance image-based 3D reconstruction of weakly-textured surfaces. The idea behind it is to enhance the contrast of images, especially in weakly-textured regions, before feeding them to the reconstruction pipeline. Images contrast is enhanced using a recently proposed approach for noise reduction. The dynamic range of the generated denoised-images has to be squeezed to the limited 8-bit range that is used by the standard 3D reconstruction techniques. Dynamic range squeezing is a very critical process and can lead to information losses, since many levels in the original range will no longer be available in the limited target range. To this end, this paper proposes a new tone-mapping approach that is based on Contrast Limited Adaptive Histogram Equalization (CLAHE). It amplifies the local contrast adaptively to effectively use the limited target range. At the same time, it uses a limit to prevent local noise from being amplified. Using our approach leads to a significant improvement of up to 400% in the completeness of the 3D reconstruction.

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Paper Citation


in Harvard Style

Aldeeb N. and Hellwich O. (2018). Reconstructing Textureless Objects - Image Enhancement for 3D Reconstruction of Weakly-Textured Surfaces.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, ISBN 978-989-758-290-5, pages 572-580. DOI: 10.5220/0006628805720580


in Bibtex Style

@conference{visapp18,
author={Nader H. Aldeeb and Olaf Hellwich},
title={Reconstructing Textureless Objects - Image Enhancement for 3D Reconstruction of Weakly-Textured Surfaces},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,},
year={2018},
pages={572-580},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006628805720580},
isbn={978-989-758-290-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,
TI - Reconstructing Textureless Objects - Image Enhancement for 3D Reconstruction of Weakly-Textured Surfaces
SN - 978-989-758-290-5
AU - Aldeeb N.
AU - Hellwich O.
PY - 2018
SP - 572
EP - 580
DO - 10.5220/0006628805720580