Abstract
A modified spin-image surface matching system for out-of-plane rotation-invariant recognition in forward-looking laser radar (Ladar) range imagery has been described in the literature. In this paper, we experimentally address the relation between the training-set size used in the new method and recognition rate and present a method for selecting the training sample images. The modified system has attractive properties that include: rotated invariance, simplified training-set selection, predigestion from the 3-D range image to a set of 2-D images, tolerance for a significant amount of noise, no feature extraction. Each of these properties is investigated in the paper.
| Original language | English |
|---|---|
| Pages (from-to) | 1014-1018 |
| Number of pages | 5 |
| Journal | Optik |
| Volume | 122 |
| Issue number | 11 |
| DOIs | |
| State | Published - Jun 2011 |
Keywords
- Ladar
- Range imagery
- Rotated invariance
- Target recognition
- Training-set
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