Name
Abstract | ||
|---|---|---|
Recent advances have allowed for the creation of dense, accurate 3D maps of indoor environments using RGB-D cameras. Some techniques are able to create large-scale maps, while others focus on accurate details using GPU-accelerated volumetric representations. In this work we describe patch volumes, a novel multiple-volume representation which enables the creation of globally consistent maps of indoor environments beyond the capabilities of previous high-accuracy volumetric representations. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/3DV.2013.59 | Seattle, WA |
Keywords | Field | DocType |
previous high-accuracy volumetric representation,rgb-d cameras,indoor environment,consistent map,patch volume,recent advance,patch volumes,rgb-d camera,gpu-accelerated volumetric representation,accurate detail,novel multiple-volume representation,large-scale map,segmentation-based consistent mapping,image sensors,cartography,graph theory,computational geometry,3d reconstruction,image segmentation | Graph theory,Computer vision,Computer graphics (images),Image sensor,Segmentation,Computer science,Computational geometry,Image segmentation,RGB color model,Artificial intelligence,3D modeling,3D reconstruction | Conference |
Citations | PageRank | References |
36 | 1.26 | 14 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peter Henry | 1 | 1010 | 45.52 |
| Dieter Fox | 2 | 12306 | 1289.74 |
| Achintya Bhowmik | 3 | 48 | 2.10 |
| Rajiv Mongia | 4 | 36 | 1.26 |