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RAS
2008
139views more  RAS 2008»
13 years 9 months ago
Towards 3D Point cloud based object maps for household environments
This article investigates the problem of acquiring 3D object maps of indoor household environments, in particular kitchens. The objects modeled in these maps include cupboards, ta...
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow...
IROS
2009
IEEE
205views Robotics» more  IROS 2009»
14 years 5 months ago
Model-based and learned semantic object labeling in 3D point cloud maps of kitchen environments
Abstract— We report on our experiences regarding the acquisition of hybrid Semantic 3D Object Maps for indoor household environments, in particular kitchens, out of sensed 3D poi...
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow...
ICCV
2009
IEEE
15 years 4 months ago
Shape-based Recognition of 3D Point Clouds in Urban Environments
This paper investigates the design of a system for recognizing objects in 3D point clouds of urban environments. The system is decomposed into four steps: locating, segmenting, ...
Aleksey Golovinskiy, Vladimir G. Kim, Thomas Funkh...
CVPR
2010
IEEE
14 years 3 months ago
Model Globally, Match Locally: Efficient and Robust 3D Object Recognition
This paper addresses the problem of recognizing freeform 3D objects in point clouds. Compared to traditional approaches based on point descriptors, which depend on local informati...
Bertram Drost, Markus Ulrich, Nassir Navab, Slobod...
ICARCV
2008
IEEE
184views Robotics» more  ICARCV 2008»
14 years 5 months ago
Learning informative point classes for the acquisition of object model maps
—This paper proposes a set of methods for building informative and robust feature point representations, used for accurately labeling points in a 3D point cloud, based on the typ...
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow...