TU Darmstadt / ULB / TUbiblio

Towards Precise Real-Time 3D Difference Detection for Industrial Applications

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
Export:

Optionen (nur für Redakteure)

View Item View Item