Efficient Global Registration for Nominal/Actual Comparisons

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dc.contributor.authorBerkei, Sarahen_US
dc.contributor.authorLimper, Maxen_US
dc.contributor.authorHörr, Christianen_US
dc.contributor.authorKuijper, Arjanen_US
dc.contributor.editorBeck, Fabian and Dachsbacher, Carsten and Sadlo, Filipen_US
dc.date.accessioned2018-10-18T09:33:38Z
dc.date.available2018-10-18T09:33:38Z
dc.date.issued2018
dc.description.abstractWe 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.en_US
dc.description.sectionheadersScanning
dc.description.seriesinformationVision, Modeling and Visualization
dc.identifier.doi10.2312/vmv.20181255
dc.identifier.isbn978-3-03868-072-7
dc.identifier.pages71-78
dc.identifier.urihttps://doi.org/10.2312/vmv.20181255
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vmv20181255
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectReconstruction
dc.subjectMatching
dc.subjectMesh models
dc.titleEfficient Global Registration for Nominal/Actual Comparisonsen_US
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