Authors:
Nader H. Aldeeb
and
Olaf Hellwich
Affiliation:
Technische Universität Berlin, Germany
Keyword(s):
3D Reconstruction, Weakly-Textured Surfaces, Image Enhancement, Denoising, Histogram Equalisation.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Geometry and Modeling
;
Image Enhancement and Restoration
;
Image Formation and Preprocessing
;
Image-Based Modeling
;
Pattern Recognition
;
Software Engineering
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 ran
ge. 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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