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IROS
2009
IEEE
205views Robotics» more  IROS 2009»
13 years 11 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...
IROS
2009
IEEE
207views Robotics» more  IROS 2009»
13 years 11 months ago
Estimation of camera motion with feature flow model for 3D environment modeling by using omni-directional camera
Abstract— Map information is important for path planning and self-localization when mobile robots accomplish autonomous tasks. In unknown environments, mobile robots should gener...
Ryosuke Kawanishi, Atsushi Yamashita, Toru Kaneko
CORR
2011
Springer
211views Education» more  CORR 2011»
12 years 8 months ago
Labeling 3D scenes for Personal Assistant Robots
—Inexpensive RGB-D cameras that give an RGB image together with depth data have become widely available. We use this data to build 3D point clouds of a full scene. In this paper,...
Hema Swetha Koppula, Abhishek Anand, Thorsten Joac...
ICRA
2009
IEEE
188views Robotics» more  ICRA 2009»
13 years 2 months ago
Onboard contextual classification of 3-D point clouds with learned high-order Markov Random Fields
Contextual reasoning through graphical models such as Markov Random Fields often show superior performance against local classifiers in many domains. Unfortunately, this performanc...
Daniel Munoz, Nicolas Vandapel, Martial Hebert
ICPR
2002
IEEE
13 years 9 months ago
3D Reconstruction of Indoor and Outdoor Scenes Using a Mobile Range Scanner
This paper describes 3D mapping of indoor and outdoor environment using a mobile range scanner. In the raw range data preprocessing stage, we propose to use area decreasing flow ...
Yiyong Sun, Joon Ki Paik, Andreas Koschan, Mongi A...