Kahn, Svenja and Bockholt, Ulrich and Kuijper, Arjan and Fellner, Dieter W. (2013):
Towards Precise Real-Time 3D Difference Detection for Industrial Applications.
In: Computers in Industry, pp. 1115-1128, 64, (9), DOI: 10.1016/j.compind.2013.04.004, [Article]
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.
| Item Type: | Article |
|---|---|
| Erschienen: | 2013 |
| Creators: | Kahn, Svenja and Bockholt, Ulrich and Kuijper, Arjan and Fellner, Dieter W. |
| Title: | Towards Precise Real-Time 3D Difference Detection for Industrial Applications |
| Language: | English |
| 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. |
| Journal or Publication Title: | Computers in Industry |
| Volume: | 64 |
| Number: | 9 |
| Uncontrolled Keywords: | 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 |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
| Date Deposited: | 12 Nov 2018 11:16 |
| DOI: | 10.1016/j.compind.2013.04.004 |
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