TU Darmstadt / ULB / TUbiblio

Efficient Global Registration for Nominal/Actual Comparisons

Berkei, Sarah and Limper, Max and Hörr, Christian and Kuijper, Arjan (2018):
Efficient Global Registration for Nominal/Actual Comparisons.
In: VMV 2018, Goslar, Eurographics Association, In: International Symposium on Vision, Modeling and Visualization (VMV), Stuttgart, Germany, 2018, ISBN 978-3-03868-072-7,
[Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2018
Creators: Berkei, Sarah and Limper, Max and Hörr, Christian and Kuijper, Arjan
Title: Efficient Global Registration for Nominal/Actual Comparisons
Language: English
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.

Title of Book: VMV 2018
Place of Publication: Goslar
Publisher: Eurographics Association
ISBN: 978-3-03868-072-7
Uncontrolled Keywords: Reconstruction, Matching, Mesh-based modeling
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
20 Department of Computer Science > Mathematical and Applied Visual Computing
Event Title: International Symposium on Vision, Modeling and Visualization (VMV)
Event Location: Stuttgart, Germany
Event Dates: 2018
Date Deposited: 17 Jul 2019 14:13
Export:
Suche nach Titel in: TUfind oder in Google

Optionen (nur für Redakteure)

View Item View Item