Name
Abstract | ||
|---|---|---|
A technique is introduced for extracting and reconstructing a wide class of building types from a registered range image and optical image. An attentional focus stage, followed by model indexing, allows top-down robust surface fittting to reconstruct the 3D nature of the buildings in the data. Because of the effectiveness of model selection, top-down processing of noisy range data still succeeds and the algorithm is capable of detecting and reconstructing several different building roof classes, including fiat single level, fiat multi-leveled, peaked, and curued rooftops. The algorithm is applicable to range data that may have been collected from several different range sensor types. We demonstrate reconstructions of different buildings classes in the presence of large amounts of noise. Our results underline the usefuless of range data when processed in the context of a focus-of-attention area derived from the monocular optical image. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1109/CVPR.1997.609353 | San Juan |
Keywords | Field | DocType |
image reconstruction,optical images,surface fitting,attentional focus stage,curved rooftops,model indexing,optical images,range images,range sensor types,top-down robust surface fitting | Iterative reconstruction,Computer vision,Optical image,Pattern recognition,Computer science,Surface fitting,Model selection,Search engine indexing,Artificial intelligence,Roof,Monocular | Conference |
ISSN | ISBN | Citations |
1063-6919 | 0-8186-7822-4 | 8 |
PageRank | References | Authors |
0.83 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christopher Jaynes | 1 | 245 | 20.92 |
| A. Hanson | 2 | 1348 | 304.11 |
| edward m riseman | 3 | 181 | 50.97 |
| Howard Schultz | 4 | 78 | 7.42 |