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Proceedings Paper

Video-rate or high-precision: a flexible range imaging camera
Author(s): Adrian A. Dorrington; Michael J. Cree; Dale A. Carnegie; Andrew D. Payne; Richard M. Conroy; John P. Godbaz; Adrian P. P. Jongenelen
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Paper Abstract

A range imaging camera produces an output similar to a digital photograph, but every pixel in the image contains distance information as well as intensity. This is useful for measuring the shape, size and location of objects in a scene, hence is well suited to certain machine vision applications. Previously we demonstrated a heterodyne range imaging system operating in a relatively high resolution (512-by-512) pixels and high precision (0.4 mm best case) configuration, but with a slow measurement rate (one every 10 s). Although this high precision range imaging is useful for some applications, the low acquisition speed is limiting in many situations. The system's frame rate and length of acquisition is fully configurable in software, which means the measurement rate can be increased by compromising precision and image resolution. In this paper we demonstrate the flexibility of our range imaging system by showing examples of high precision ranging at slow acquisition speeds and video-rate ranging with reduced ranging precision and image resolution. We also show that the heterodyne approach and the use of more than four samples per beat cycle provides better linearity than the traditional homodyne quadrature detection approach. Finally, we comment on practical issues of frame rate and beat signal frequency selection.

Paper Details

Date Published: 26 February 2008
PDF: 12 pages
Proc. SPIE 6813, Image Processing: Machine Vision Applications, 681307 (26 February 2008); doi: 10.1117/12.764752
Show Author Affiliations
Adrian A. Dorrington, Univ. of Waikato (New Zealand)
Michael J. Cree, Univ. of Waikato (New Zealand)
Dale A. Carnegie, Victoria Univ. of Wellington (New Zealand)
Andrew D. Payne, Univ. of Waikato (New Zealand)
Richard M. Conroy, Univ. of Waikato (New Zealand)
John P. Godbaz, Univ. of Waikato (New Zealand)
Adrian P. P. Jongenelen, Victoria Univ. of Wellington (New Zealand)

Published in SPIE Proceedings Vol. 6813:
Image Processing: Machine Vision Applications
Kurt S. Niel; David Fofi, Editor(s)

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