Title:
Rao-Blackwellized Importance Sampling of Camera Parameters from Simple User Input with Visibility Preprocessing in Line Space
Rao-Blackwellized Importance Sampling of Camera Parameters from Simple User Input with Visibility Preprocessing in Line Space
dc.contributor.author | Quennesson, Kevin | |
dc.contributor.author | Dellaert, Frank | |
dc.contributor.corporatename | Georgia Institute of Technology. Center for Robotics and Intelligent Machines | |
dc.contributor.corporatename | Georgia Institute of Technology. College of Computing | |
dc.date.accessioned | 2011-04-15T14:51:46Z | |
dc.date.available | 2011-04-15T14:51:46Z | |
dc.date.issued | 2006-06 | |
dc.description.abstract | Users know what they see before where they are: it is more natural to talk about high level visibility information ("I see such object") than about one's location or orientation. In this paper we introduce a method to find in 3D worlds a density of viewpoints of camera locations from high level visibility constraints on objects in this world. Our method is based on Rao-Blackwellized importance sampling. For efficiency purposes, the proposal distribution used for sampling is extracted from a visibility preprocessing technique adapted from computer graphics. We apply the method for finding in a 3D city model of Atlanta the virtual locations of real-world cameras and viewpoints. | |
dc.identifier.citation | Quennesson, K. and Dellaert, F. (2006). Rao-Blackwellized Importance Sampling of Camera Parameters from Simple User Input with Visibility Preprocessing in Line Space. Third International Symposium 3D Data Processing, Visualization, and Transmission, June 2006. | en_US |
dc.identifier.uri | http://hdl.handle.net/1853/38542 | |
dc.language.iso | en_US | en_US |
dc.publisher | Georgia Institute of Technology | en_US |
dc.title | Rao-Blackwellized Importance Sampling of Camera Parameters from Simple User Input with Visibility Preprocessing in Line Space | en_US |
dc.type | Text | |
dc.type.genre | Poster | |
dspace.entity.type | Publication | |
local.contributor.author | Dellaert, Frank | |
local.contributor.corporatename | Institute for Robotics and Intelligent Machines (IRIM) | |
local.contributor.corporatename | College of Computing | |
relation.isAuthorOfPublication | dac80074-d9d8-4358-b6eb-397d95bdc868 | |
relation.isOrgUnitOfPublication | 66259949-abfd-45c2-9dcc-5a6f2c013bcf | |
relation.isOrgUnitOfPublication | c8892b3c-8db6-4b7b-a33a-1b67f7db2021 |