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Proceedings Paper

A comparison of two- and three-dimensional imaging
Author(s): Ernest Hall; Donald Rosselot; Mark Aull; Manohar Balapa
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Paper Abstract

Three dimensional visual recognition and measurement are important in many machine vision applications. In some cases, a stationary camera base is used and a three-dimensional model will permit the measurement of depth information from a scene. One important special case is stereo vision for human visualization or measurements. In cases in which the camera base is also in motion, a seven dimensional model may be used. Such is the case for navigation of an autonomous mobile robot. The purpose of this paper is to provide a computational view and introduction of three methods to three-dimensional vision. Models are presented for each situation and example computations and images are presented. The significance of this work is that it shows that various methods based on three-dimensional vision may be used for solving two and three dimensional vision problems. We hope this work will be slightly iconoclastic but also inspirational by encouraging further research in optical engineering.

Paper Details

Date Published: 2 October 2006
PDF: 14 pages
Proc. SPIE 6384, Intelligent Robots and Computer Vision XXIV: Algorithms, Techniques, and Active Vision, 63840B (2 October 2006); doi: 10.1117/12.687474
Show Author Affiliations
Ernest Hall, Univ. of Cincinnati (United States)
Donald Rosselot, Univ. of Cincinnati (United States)
Mark Aull, Univ. of Cincinnati (United States)
Manohar Balapa, Univ. of Cincinnati (United States)

Published in SPIE Proceedings Vol. 6384:
Intelligent Robots and Computer Vision XXIV: Algorithms, Techniques, and Active Vision
David P. Casasent; Ernest L. Hall; Juha Röning, Editor(s)

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