Efficient Global Registration for Nominal/Actual Comparisons

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Date
2018
Journal Title
Journal ISSN
Volume Title
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.
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@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
} }
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