
We present a real-time three-dimensional automatic target recognition approach appropriate for future light detection and ranging-based missiles. Our technique extends the speeded-up robust features method into the third dimension by solving multiple two-dimensional problems and performs template matching based on the extreme case of a single pose per target. Evaluation on military targets shows higher recognition rates under various transformations and perturbations at lower processing time compared to state-of-the-art approaches.
LIDAR, Realtime, U, Hough pose clustering, TL, 3D ATR, TK, Target recognition
LIDAR, Realtime, U, Hough pose clustering, TL, 3D ATR, TK, Target recognition
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