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Proceedings Paper

Shape estimation for arbitrary objects
Author(s): Marija S. Scholl
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Paper Abstract

Shape recognition for arbitrarily shaped objects is a very difficult problem in machine vision and in remote sensing. The radiometric technique described can be used for arbitrary illumination and detection coordinates to obtain surface shape. Using a high resolution CCD-based imager, the local surface curvature is shown to produce significant changes in the detected signal-to-noise ratio, sufficient to reconstruct the object piece-wise continuous shape from the object slope as a function of the projected pixel position. The technique is applied to remote sensing for digital map generation and obstacle shape determination to avoid hazards for autonomous vehicles.

Paper Details

Date Published: 1 March 1992
PDF: 8 pages
Proc. SPIE 1615, Machine Vision Architectures, Integration, and Applications, (1 March 1992); doi: 10.1117/12.58820
Show Author Affiliations
Marija S. Scholl, Jet Propulsion Lab. (United States)

Published in SPIE Proceedings Vol. 1615:
Machine Vision Architectures, Integration, and Applications
Bruce G. Batchelor; Michael J. W. Chen; Frederick M. Waltz, Editor(s)

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