Cubic spline smoothing of feature space trajectory for 3D object recognition

Sylvain Deschenes; Ziliang Ping; Yunlong Sheng

doi:10.1117/12.341320

9 March 1999 Cubic spline smoothing of feature space trajectory for 3D object recognition

Sylvain Deschenes, Ziliang Ping, Yunlong Sheng

Proceedings Volume 3715, Optical Pattern Recognition X; (1999) https://doi.org/10.1117/12.341320
Event: AeroSense '99, 1999, Orlando, FL, United States

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.

Citation Download Citation

Sylvain Deschenes, Ziliang Ping, and Yunlong Sheng "Cubic spline smoothing of feature space trajectory for 3D object recognition", Proc. SPIE 3715, Optical Pattern Recognition X, (9 March 1999); https://doi.org/10.1117/12.341320

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