Abstract
In this chapter, we present the final system resulting from the European Project “3DComplete” aimed at creating a low-cost and flexible quality inspection system capable of capturing 2.5D color data for completeness inspection. The system uses a single color camera to capture at the same time 3D data with laser triangulation and color texture with a special projector of a narrow line of white light, which are then combined into a color 2.5D model in real time. Many examples of completeness inspection tasks are reported, which are extremely difficult to analyze with the state-of-the-art 2D-based methods. Our system has been integrated into a real production environment, showing that completeness inspection incorporating 3D technology can be readily achieved in a short time at low costs.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Bi Z, Wang L (2010) Advances in 3d data acquisition and processing for industrial applications. Robot Comput Integr Manufact 26:403–413
Chen C, Kak A (1987) Modeling and calibration of a structured light scanner for 3-d robot vision. Int Conf Robot Autom 4:807–815
Huynh DQ, Owens RA, Hartmann PE (1999) Calibrating a structured light stripe system: a novel approach. Int J Comput Vis 33:73–86
Malamas EN, Petrakis EGM, Zervakis M, Petit L, Legat J-D (2003) A survey on industrial vision systems, applications and tools. Image Vis Comput 21:171–188
McIvor AM (2002) Non-linear calibration of a laser stripe profiler. Opt Eng 41:205
Pears N, Liu Y, Bunting P (eds) (2012) 3D imaging, analysis and applications. Springer, London
Reid ID (1996) Projective calibration of a laser-stripe range finder. Image Vis Comput 14:659–666
So EWY, Munaro M, Michieletto S, Menegatti E, Tonello S (2013) 3d complete: efficient completeness inspection using a 2.5d color scanner. Comput Ind Spec Issue 3D Imaging Ind Elsevier 64(9):1237–1252
So EWY, Michieletto S, Menegatti E (2012) Calibration of a dual-laser triangulation system for assembly line completeness inspection. In: IEEE international symposium on robotic and sensors environments, pp 138–143
Stocher W, Biegelbauer G (2005) Automated simultaneous calibration of a multi-view laser stripe profiler. In: IEEE international conference on robotics and automation, pp 4424–4429
Trucco E, Fisher RB, Fitzgibbon AW, Naidu DK (1998) Calibration, data consistency and model acquisition with laser stripers. Int J Comput Integr Manuf 11:292–310
Vilaça JL, Fonseca JC, Pinho AM (2009) Calibration procedure for 3d measurement systems using two cameras and a laser line. Opt Laser Technol 41:112–119
Yamauchi K, Saito H, Sato Y (2008) Calibration of a structured light system by observing planar object from unknown viewpoints. In: International conference on pattern recognition, pp 1–4
Zhou F, Zhang G (2005) Complete calibration of a structured light stripe vision sensor through planar target of unknown orientations. Image Vis Comput 23:59–67
Acknowledgments
This research has been funded by the European Unions 7th Framework program managed by REAResearch Executive Agency (http://ec.europa.eu/research/rea—FP7/2007-2013) under Grant Agreement No. 262009, 3D Complete project.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag London (outside the USA)
About this chapter
Cite this chapter
Munaro, M., So, E.W.Y., Tonello, S., Menegatti, E. (2015). Efficient Completeness Inspection Using Real-Time 3D Color Reconstruction with a Dual-Laser Triangulation System. In: Liu, Z., Ukida, H., Ramuhalli, P., Niel, K. (eds) Integrated Imaging and Vision Techniques for Industrial Inspection. Advances in Computer Vision and Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-4471-6741-9_7
Download citation
DOI: https://doi.org/10.1007/978-1-4471-6741-9_7
Publisher Name: Springer, London
Print ISBN: 978-1-4471-6740-2
Online ISBN: 978-1-4471-6741-9
eBook Packages: Computer ScienceComputer Science (R0)