Multi-view ToF Fusion for Object Detection in Industrial Applications

Inge Coudron, Toon Goedemé

Abstract

The use of time-of-flight (ToF) cameras in industrial applications has become increasingly popular due to the camera’s reduced cost and its ability to provide real-time depth information. Still, one of the main drawbacks of these cameras has been their limited field of view. We therefore propose a technique to fuse the views of multiple ToF cameras. By mounting two cameras side by side and pointing them away from each other, the horizontal field of view can be artificially extended. The combined views can then be used for object detection. The main advantages of our technique is that the calibration is fully automatic and only one shot of the calibration target is needed. Furthermore, no overlap between the views is required.

References

  1. Abbeloos, W. and Goedemé, T. (2016). Point pair feature based object detection for random bin picking. In Proceedings CRV 2016, number accepted. University of Victoria.
  2. Auvinet, E., Meunier, J., and Multon, F. (2012). Multiple depth cameras calibration and body volume reconstruction for gait analysis. In Information Science, Signal Processing and their Applications (ISSPA), 2012 11th International Conference on, pages 478- 483. IEEE.
  3. Besl, P. J. and McKay, N. D. (1992). Method for registration of 3-d shapes. In Robotics-DL tentative, pages 586- 606. International Society for Optics and Photonics.
  4. Bielicki, J. and Sitnik, R. (2013). A method of 3d object recognition and localization in a cloud of points. EURASIP Journal on Advances in Signal Processing, 2013(1):1.
  5. Chetverikov, D., Svirko, D., Stepanov, D., and Krsek, P. (2002). The trimmed iterative closest point algorithm. In Pattern Recognition, 2002. Proceedings. 16th International Conference on, volume 3, pages 545-548. IEEE.
  6. Hinterstoisser, S., Cagniart, C., Ilic, S., Sturm, P., Navab, N., Fua, P., and Lepetit, V. (2012). Gradient response maps for real-time detection of textureless objects. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(5):876-888.
  7. Low, K.-L. (2004). Linear least-squares optimization for point-to-plane icp surface registration. Chapel Hill, University of North Carolina, 4.
  8. Ruan, M. and Huber, D. (2014). Calibration of 3d sensors using a spherical target. In 2014 2nd International Conference on 3D Vision, volume 1, pages 187-193. IEEE.
  9. Zhang, Z. (2000). A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(11):1330-1334.
Download


Paper Citation


in Harvard Style

Coudron I. and Goedemé T. (2017). Multi-view ToF Fusion for Object Detection in Industrial Applications . In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-225-7, pages 203-207. DOI: 10.5220/0006136802030207


in Bibtex Style

@conference{visapp17,
author={Inge Coudron and Toon Goedemé},
title={Multi-view ToF Fusion for Object Detection in Industrial Applications},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={203-207},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006136802030207},
isbn={978-989-758-225-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017)
TI - Multi-view ToF Fusion for Object Detection in Industrial Applications
SN - 978-989-758-225-7
AU - Coudron I.
AU - Goedemé T.
PY - 2017
SP - 203
EP - 207
DO - 10.5220/0006136802030207