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, 64 (9), pp. 1115-1128. 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 |
Journal 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 |
Export: | |
Suche nach Titel in: | TUfind oder in Google |
![]() |
Send an inquiry |
Options (only for editors)
![]() |
Show editorial Details |