Name
Abstract | ||
|---|---|---|
We consider the problem of creating integrated texture maps of large structures scanned with a time-of-flight laser scanner and imaged with a digital camera. The key issue in creating integrated textures is correcting for the spatially varying illumination across the structure. In most cases, the illumination cannot be controlled, and dense spatial estimates of illumination are not possible. We present a system for processing multiple color images into an integrated texture that makes use of the laser scanner return intensity and the captured geometry, together with color balancing and mapping of illumination-corrected images onto the target geometry after filtering into two spatial frequency bands. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/3DPVT.2006.22 | 3DPVT |
Keywords | Field | DocType |
target geometry,time-of-flight laser scanner,digital camera,illumination-corrected images,integrated texture map,spatial frequency band,image reconstruction,integrated texture map reconstruction,spatially varying illumination,integrated texture,laser scanner return intensity,large structures,dense spatial estimate,color balancing,multiple color image processing,image texture,reconstructing integrated texture maps,multiple color image,image colour analysis,color image,control systems,frequency,time of flight,color,laser scanner,surface reconstruction,geometrical optics,reflectivity,texture mapping,spatial frequency | Iterative reconstruction,Texture mapping,Computer vision,Laser scanning,Computer graphics (images),Computer science,Image texture,Filter (signal processing),Digital camera,Artificial intelligence,Spatial frequency | Conference |
ISBN | Citations | PageRank |
0-7695-2825-2 | 6 | 0.46 |
References | Authors | |
14 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fausto Bernardini | 1 | 1466 | 122.63 |
| Athinodoros S. Georghiades | 2 | 2483 | 128.27 |
| Holly Rushmeier | 3 | 2294 | 334.25 |
| Julie Dorsey | 4 | 2535 | 182.80 |