| Autor: |
Donald Hulsey, Miguel Ordaz, Estille Whittenberger, Donald E. Waagen |
| Rok vydání: |
2006 |
| Předmět: |
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| Zdroj: |
Automatic Target Recognition XVI. |
| ISSN: |
0277-786X |
| Popis: |
Extraction and efficient representation of informative structure from data is the goal of pattern recognition. Efficient and effective parametric and nonparametric representations for capturing the geometry of three-dimensional objects are an area of current research. Tang and Medioni have proposed tensor representations for characterization and reconstruction of surfaces. 3-D structure tensors are extracted by mapping surface geometries using a rank-2 covariant tensor. Distributional differences between representations of objects of interest can (theoretically) be used for target matching and identification. This paper analyzes the statistical distributions of tensor representation extracted from 3-D LADAR imagery and quantifies a measure of divergence between images of three vehicles as a function of tensor feature support size. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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