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Efficient Global Registration for Nominal/Actual Comparisons

 
: Berkei, Sarah; Limper, Max; Hörr, Chrisitan; Kuijper, Arjan

:

Weiskopf, Daniel (Ed.) ; European Association for Computer Graphics -EUROGRAPHICS-; Gesellschaft für Informatik -GI-, Bonn; Gesellschaft für Informatik -GI-, Fachbereich Graphische Datenverarbeitung:
VMV 2018, International Symposium on Vision, Modeling and Visualization : Stuttgart, Germany, October 10 - 12, 2018
Goslar: Eurographics Association, 2018
ISBN: 978-3-03868-072-7
pp.71-78
International Symposium on Vision, Modeling and Visualization (VMV) <23, 2018, Stuttgart>
English
Conference Paper
Fraunhofer IGD ()
reconstruction; matching; mesh-based modeling; Guiding Theme: Digitized Work; Research Area: Computer graphics (CG); Research Area: Computer vision (CV)

Abstract
We investigate global registration methods for Nominal/Actual comparisons, using precise, high-resolution 3D scans. First we summarize existing approaches and requirements for this field of application. We then demonstrate that a basic RANSAC strategy, along with a slightly modified version of basic building blocks, can lead to a high global registration performance at moderate registration times. Specifically, we introduce a simple feedback loop that exploits the fast convergence of the ICP algorithm to efficiently speed up the search for a valid global alignment. Using the example of 3D printed parts and range images acquired by two different high-precision 3D scanners for quality control, we show that our method can be efficiently used for Nominal/Actual comparison. For this scenario, the proposed algorithm significantly outperforms the current state of the art, with regards to registration time and success rate.

: http://publica.fraunhofer.de/documents/N-538250.html