Share Email Print
cover

Proceedings Paper

Cubic spline smoothing of feature space trajectory for 3D object recognition
Author(s): Sylvain Deschenes; Ziliang Ping; Yunlong Sheng
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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)

© SPIE. Terms of Use
Back to Top