3D TOF CAMERA BASED OBJECT METROLOGY

Mohammed Ibrahim M., Peddaiah Thappeta

Abstract

Range cameras that determine both range and intensity at each pixel has matured in the last decade and is on the verge of revolutionizing the metrology market in retail, automotive, aerospace and many other. In this paper, we present an algorithm for measuring 3D geometry (height, width and depth) of rigid object using Time of Flight (TOF) camera. The method exploits geometrical structure of object such that intensity and range image compliments each other for a reliable measurement. We discuss the performance of algorithm under varying operating conditions.

References

  1. Dorrington, A. A., Carnegie, D. A. and Cree, M. J., 2006. “Toward 1-mm depth precision with a solid state fullfield range imaging system,” .Proc. SPIE, Vol. 6068 - Sensors, Cameras, and Systems for Scientific/Industrial Applications VIII, part of the IS&T/SPIE Symposium on Electronic Imaging, San Jose, CA, USA, pp. 60680K1-60680K10.
  2. Cui Y., S. Schuon, D. Chan, S. Thrun, and C. Theobalt, 2010 “3d shape scanning with a time-of-flight camera,” in IEEE CVPR 10, pp. 1173-1180.
  3. Distante C., G. Diraco, and A. Leone, 2010, “Active range imaging dataset for indoor surveillance,” Annals of the BMVA, London, vol. 3, pp. 1-16.
  4. Bostelman R., P. Russo, J. Albus, T. Hong, and R. Madhavan, 2006, “Applications of a 3d range camera towards healthcare mobility aids,” IEEEInternational Conference on Networking, Sensing and Control (ICNSC'06), pp. 416-421.
  5. Chiabrando F., R. Chiabrando, D. Piatti, and F. Rinaudo, 2009, “Sensors for 3d imaging: Metric evaluation and calibration of a ccd/cmos time-of-flight camera,” Sensors, vol. 9.
  6. Sobers L X Francis, Sreenatha G Anavatti, Matthew Garratt, 2011, “Reconstructing the geometry of an object using 3D TOF Camera”, Merging Fields Of Computational Intelligence And Sensor Technology (CompSens), 2011 IEEE Workshop On
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Paper Citation


in Harvard Style

Ibrahim M. M. and Thappeta P. (2012). 3D TOF CAMERA BASED OBJECT METROLOGY . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 449-452. DOI: 10.5220/0003857404490452


in Bibtex Style

@conference{visapp12,
author={Mohammed Ibrahim M. and Peddaiah Thappeta},
title={3D TOF CAMERA BASED OBJECT METROLOGY},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={449-452},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003857404490452},
isbn={978-989-8565-03-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - 3D TOF CAMERA BASED OBJECT METROLOGY
SN - 978-989-8565-03-7
AU - Ibrahim M. M.
AU - Thappeta P.
PY - 2012
SP - 449
EP - 452
DO - 10.5220/0003857404490452