Kahn, Svenja ; Bockholt, Ulrich ; Kuijper, Arjan ; Fellner, Dieter W. (2013)
Towards Precise Real-Time 3D Difference Detection for Industrial Applications.
In: Computers in Industry, 64 (9)
doi: 10.1016/j.compind.2013.04.004
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
3D difference detection is the task to verify whether the 3D geometry of a real object exactly corresponds to a 3D model of this object. We present an approach for 3D difference detection with a hand-held depth camera. In contrast to previous approaches, with the presented approach geometric differences can be detected in real-time and from arbitrary viewpoints. The 3D difference detection accuracy is improved by two approaches: first, the precision of the depth camera's pose estimation is improved by coupling the depth camera with a high precision industrial measurement arm. Second, the influence of the depth measurement noise is reduced by integrating a 3D surface reconstruction algorithm. The effects of both enhancements are quantified by a ground-truth based quantitative evaluation, both for a time-of-flight (SwissRanger 4000) and a structured light depth camera (Kinect). With the proposed enhancements, differences of few millimeters can be detected from 1 m measurement distance.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2013 |
| Autor(en): | Kahn, Svenja ; Bockholt, Ulrich ; Kuijper, Arjan ; Fellner, Dieter W. |
| Art des Eintrags: | Bibliographie |
| Titel: | Towards Precise Real-Time 3D Difference Detection for Industrial Applications |
| Sprache: | Englisch |
| Publikationsjahr: | 2013 |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Computers in Industry |
| Jahrgang/Volume einer Zeitschrift: | 64 |
| (Heft-)Nummer: | 9 |
| DOI: | 10.1016/j.compind.2013.04.004 |
| Kurzbeschreibung (Abstract): | 3D difference detection is the task to verify whether the 3D geometry of a real object exactly corresponds to a 3D model of this object. We present an approach for 3D difference detection with a hand-held depth camera. In contrast to previous approaches, with the presented approach geometric differences can be detected in real-time and from arbitrary viewpoints. The 3D difference detection accuracy is improved by two approaches: first, the precision of the depth camera's pose estimation is improved by coupling the depth camera with a high precision industrial measurement arm. Second, the influence of the depth measurement noise is reduced by integrating a 3D surface reconstruction algorithm. The effects of both enhancements are quantified by a ground-truth based quantitative evaluation, both for a time-of-flight (SwissRanger 4000) and a structured light depth camera (Kinect). With the proposed enhancements, differences of few millimeters can be detected from 1 m measurement distance. |
| Freie Schlagworte: | Business Field: Virtual engineering, Business Field: Visual decision support, Research Area: Confluence of graphics and vision, Forschungsgruppe Semantic Models, Immersive Systems (SMIS), 3D Modeling, Augmented reality (AR), Computer vision, Tracking, Depth images |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 12 Nov 2018 11:16 |
| Letzte Änderung: | 04 Feb 2022 12:40 |
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