Iterative Color Equalization for Increased Applicability of Structured Light Reconstruction

Torben Fetzer, Gerd Reis, Didier Stricker

In: Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Apllications |. International Conference on Computer Vision Theory and Applications (VISAPP-2020) Valletta Malta SCITEPRESS 2020.


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.


IterativeColorEqualization.pdf (pdf, 12 MB)

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence