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Proceedings Paper

Three-Dimensional Object Recognition Using Range Data
Author(s): Michael Penna; Su-Shing Chen
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Paper Abstract

For the past two decades, most computer vision research has been concerned with digitized gray scale intensity images as sensor data. Digitized intensity images do not, however, contain explicit information about depth or range. More recently, digitized range data from both active and passive sensors has been used for object recognition and image understanding. In this paper we present a 3-dimensional range data recognition scheme. This scheme is based on the association of a set of geometric features to a surface which approximates the surface of an unknown object. A key feature of this system is its efficient use of dense range data.

Paper Details

Date Published: 27 March 1989
PDF: 8 pages
Proc. SPIE 1002, Intelligent Robots and Computer Vision VII, (27 March 1989); doi: 10.1117/12.960317
Show Author Affiliations
Michael Penna, Purdue University at Indianapolis (United States)
Su-Shing Chen, The University of North Carolina at Charlotte (United States)

Published in SPIE Proceedings Vol. 1002:
Intelligent Robots and Computer Vision VII
David P. Casasent, Editor(s)

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