Dr. Muhammad Zeshan Afzal
Prof. Dr. Didier Stricker
Dr. Alain Pagani
Dr. Gerd Reis
Eric Thil
Keonna Cunningham
Dr. Oliver Wasenmüller
Dr. Gabriele Bleser
Dr. Bruno Mirbach
Dr. Jason Raphael Rambach
Dr. Bertram Taetz
Sk Aziz Ali
Mhd Rashed Al Koutayni
Murad Almadani
Alaa Alshubbak
Yuriy Anisimov
Jilliam Maria Diaz Barros
Ramy Battrawy
Iuliia Brishtel
Hammad Butt
Mahdi Chamseddine
Steve Dias da Cruz
Fangwen Shu
Torben Fetzer
Ahmet Firintepe
Sophie Folawiyo
David Michael Fürst
Kamalveerkaur Garewal
Christiano Couto Gava
Leif Eric Goebel
Tewodros Amberbir Habtegebrial
Simon Häring
Khurram Hashmi
Jigyasa Singh Katrolia
Andreas Kölsch
Onorina Kovalenko
Stephan Krauß
Paul Lesur
Muhammad Jameel Nawaz Malik
Michael Lorenz
Markus Miezal
Mina Ameli
Nareg Minaskan Karabid
Mohammad Minouei
Pramod Murthy
Mathias Musahl
Peter Neigel
Manthan Pancholi
Qinzhuan Qian
Engr. Kumail Raza
Dr. Nadia Robertini
María Alejandra Sánchez Marín
Dr. Kripasindhu Sarkar
Alexander Schäfer
Pascal Schneider
René Schuster
Mohamed Selim
Lukas Stefan Staecker
Dennis Stumpf
Yongzhi Su
Xiaoying Tan
Yaxu Xie
Dr. Vladislav Golyanik
Dr. Aditya Tewari
André Luiz Brandão
Iterative Color Equalization for Increased Applicability of Structured Light Reconstruction
Iterative Color Equalization for Increased Applicability of Structured Light Reconstruction
. International Conference on Computer Vision Theory and Applications (VISAPP-2020) Valletta Malta SCITEPRESS 2020 .
- 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.