Paper
22 October 2001 Detection and recognition in ladar using invariants and covariants
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Abstract
Object-image relations (O-IRs) provide a powerful approach to performing detection and recognition with laser radar (LADAR) sensors. This paper presents the basics of O-I relations and shows how they are derived from invariants. It also explains and shows results of a computationally efficient approach applying covariants to 3-D LADAR data. The approach is especially appealing because the detection and segmentation processes are integrated with recognition into a robust algorithm. Finally, the method provides a straightforward approach to handling articulation and multi-scale decomposition.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gregory D. Arnold, Kirk Sturtz, and Isaac Weiss "Detection and recognition in ladar using invariants and covariants", Proc. SPIE 4379, Automatic Target Recognition XI, (22 October 2001); https://doi.org/10.1117/12.445380
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
LIDAR

Optical spheres

Databases

3D modeling

Sensors

Image segmentation

Detection and tracking algorithms

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