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Proceedings Paper

Cubic spline smoothing of feature space trajectory for 3D object recognition
Author(s): Sylvain Deschenes; Ziliang Ping; Yunlong Sheng
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Paper Abstract

We use the cubic spline interpolation instead of the linear interpolation of the feature space trajectories for 3-D object recognition from its 2-D perspective views. The accuracy of the interpolated trajectories to the testing views is greatly enhanced by this change. The experiments are on the real-world IR images of military vehicles. Edge-based approach is used to reduce the effect of the changes in infrared image intensity distribution due to temperature changes in some running parts of vehicles.

Paper Details

Date Published: 9 March 1999
PDF: 9 pages
Proc. SPIE 3715, Optical Pattern Recognition X, (9 March 1999); doi: 10.1117/12.341320
Show Author Affiliations
Sylvain Deschenes, COPL/Univ. Laval (Canada)
Ziliang Ping, COPL/Univ. Laval (China)
Yunlong Sheng, COPL/Univ. Laval (Canada)

Published in SPIE Proceedings Vol. 3715:
Optical Pattern Recognition X
David P. Casasent; Tien-Hsin Chao, Editor(s)

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