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Proceedings Paper

3D object recognition using wavelet transform and feature space trajectory algorithms
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Paper Abstract

We show 3D object classification from their 2D infrared images. Our feature-based approach is robust to image brightness variations due to the temperature changes. An original feature space cubic spline interpolation is introduced to build feature space trajectories for the recognition.

Paper Details

Date Published: 4 December 1998
PDF: 6 pages
Proc. SPIE 3491, 1998 International Conference on Applications of Photonic Technology III: Closing the Gap between Theory, Development, and Applications, (4 December 1998); doi: 10.1117/12.328675
Show Author Affiliations
Sylvain Deschenes, Univ. Laval (Canada)
Yunlong Sheng, Univ. Laval (Canada)
Paul C. Chevrette, Defence Research Establishment Valcartier (Canada)


Published in SPIE Proceedings Vol. 3491:
1998 International Conference on Applications of Photonic Technology III: Closing the Gap between Theory, Development, and Applications
George A. Lampropoulos; Roger A. Lessard, Editor(s)

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