Name
Abstract | ||
|---|---|---|
The automation of imagery analysis processes leads to the need to detect change between pairs of aerial reconnaissance images.
Ap- proximate camera models are available for these images, accurate up to a translation, and these are augmented with further
constraints relat- ing to the task of monitoring vehicles. Horizontal, bilateral, Euclidean symmetry is used as a generic
object model by which segmented curves are grouped, first in a 2-d approximation, and then in 3-d, resulting in a sparse 3-d
Euclidean reconstruction of a symmetric object from a single view. The method is applied to sample images of parked aircraft.
|
Year | DOI | Venue |
|---|---|---|
1999 | 10.1007/3-540-46805-6_11 | Shape, Contour and Grouping in Computer Vision |
Keywords | Field | DocType |
symmetric object,constrained symmetry,3-d euclidean reconstruction,sample image,2-d approximation,generic object model,segmented curve,imagery analysis process,change detection,approximate camera model,aerial reconnaissance image,euclidean symmetry,object model | Bilateral symmetry,Computer vision,Change detection,Ground plane,Object model,Automation,Artificial intelligence,Euclidean geometry,Aerial reconnaissance,Imagery analysis,Mathematics | Conference |
Volume | ISSN | ISBN |
1681 | 0302-9743 | 3-540-66722-9 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rupert W. Curwen | 1 | 62 | 13.26 |
| J. L. Mundy | 2 | 1352 | 280.31 |