Interactive Assembly Guide Using Augmented Reality

Authors:
M. Andersen;R. Andersen;C. Larsen;T. B. Moeslund;O. Madsen
Affiliations:
Laboratory of Computer Vision and Media Technology,;Laboratory of Computer Vision and Media Technology,;Laboratory of Computer Vision and Media Technology,;Laboratory of Computer Vision and Media Technology,;Department of Production, Aalborg University, Denmark
Venue:
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Year:
2009

Citing 8
Cited 0

A Computational Approach to Edge Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm

IEEE Transactions on Pattern Analysis and Machine Intelligence
Introductory Techniques for 3-D Computer Vision

Introductory Techniques for 3-D Computer Vision
Comparative effectiveness of augmented reality in object assembly

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Bin-Picking based on Harmonic Shape Contexts and Graph-Based Matching

ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Toward Next-Gen Mobile AR Games

IEEE Computer Graphics and Applications
Augmented assembly using a mobile phone

ISMAR '08 Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality
Pose estimation of randomly organized stator housings

SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents an Augmented Reality system for aiding a pump assembling process at Grundfos, one of the leading pump producers. Stable pose estimation of the pump is required in order to augment the graphics correctly. This is achieved by matching image edges with synthesized edges from CAD models. To ensure a system which operates at interactive-time the CAD models are pruned off-line and a two-step matching strategy is introduced. On-line the visual edges of the current synthesized model are extracted and compared with the image edges using chamfer matching together with a truncated L2 norm. A dynamic visualization of the augmented graphics provides the user with guidance. Usability tests show that the accuracy of the system is sufficient for assembling the pump.