Efficient Global Registration for Nominal/Actual Comparisons

Berkei, Sarah; Limper, Max; Hörr, Christian; Kuijper, Arjan

Efficient Global Registration for Nominal/Actual Comparisons

Files

071-078.pdf (9.18 MB)

Date

2018

Authors

Berkei, Sarah
Limper, Max
Hörr, Christian
Kuijper, Arjan

Publisher

The Eurographics Association

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.

        @inproceedings{10.2312:vmv.20181255
,
booktitle = {Vision, Modeling and Visualization
},
editor = {Beck, Fabian and Dachsbacher, Carsten and Sadlo, Filip
},
title = {{Efficient Global Registration for Nominal/Actual Comparisons
}},
author = {Berkei, Sarah and 
Limper, Max and 
Hörr, Christian and 
Kuijper, Arjan
},
year = {2018
},
publisher = {The Eurographics Association
},
ISBN = {978-3-03868-072-7
},
DOI = {10.2312/vmv.20181255
}
}