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

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.