Berkei, Sarah ; Limper, Max ; Hörr, Christian ; Kuijper, Arjan (2018)
Efficient Global Registration for Nominal/Actual Comparisons.
International Symposium on Vision, Modeling and Visualization (VMV). Stuttgart, Germany (2018)
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2018 |
| Autor(en): | Berkei, Sarah ; Limper, Max ; Hörr, Christian ; Kuijper, Arjan |
| Art des Eintrags: | Bibliographie |
| Titel: | Efficient Global Registration for Nominal/Actual Comparisons |
| Sprache: | Englisch |
| Publikationsjahr: | 2018 |
| Ort: | Goslar |
| Verlag: | Eurographics Association |
| Buchtitel: | VMV 2018 |
| Veranstaltungstitel: | International Symposium on Vision, Modeling and Visualization (VMV) |
| Veranstaltungsort: | Stuttgart, Germany |
| Veranstaltungsdatum: | 2018 |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | Reconstruction, Matching, Mesh-based modeling |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme 20 Fachbereich Informatik > Mathematisches und angewandtes Visual Computing |
| Hinterlegungsdatum: | 17 Jul 2019 14:13 |
| Letzte Änderung: | 17 Jul 2019 14:13 |
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