Paper
4 December 1998 3D object recognition using wavelet transform and feature space trajectory algorithms
Author Affiliations +
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sylvain Deschenes, Yunlong Sheng, and Paul C. Chevrette "3D object recognition using wavelet transform and feature space trajectory algorithms", Proc. SPIE 3491, 1998 International Conference on Applications of Photonic Technology III: Closing the Gap between Theory, Development, and Applications, (4 December 1998); https://doi.org/10.1117/12.328675
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KEYWORDS
Wavelets

3D image processing

Object recognition

Wavelet transforms

Detection and tracking algorithms

Linear filtering

Image filtering

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