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» Geometric Integrability and Consistency of 3D Point Clouds
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ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
14 years 2 months ago
Unsupervised learning of 3D object models from partial views
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
Michael Ruhnke, Bastian Steder, Giorgio Grisetti, ...
ACCV
2010
Springer
13 years 2 months ago
An Efficient RANSAC for 3D Object Recognition in Noisy and Occluded Scenes
In this paper, we present an efficient algorithm for 3D object recognition in presence of clutter and occlusions in noisy, sparse and unsegmented range data. The method uses a robu...
Chavdar Papazov, Darius Burschka
CORR
2012
Springer
204views Education» more  CORR 2012»
12 years 3 months ago
Ontologies for the Integration of Air Quality Models and 3D City Models
In the perspective of a sustainable urban planning, it is necessary to investigate cities in a holistic way and to accept surprises in the response of urban environments to a part...
Claudine Métral, Gilles Falquet, Kostas Kar...
SIMVIS
2004
13 years 9 months ago
Evaluation and Optimization of Laser Scan Data
The digitalization of objects from the real world is of great importance, e. g., in many multimedia applications, in 3D computer graphics, and in industrial measurement. In partic...
Christian Teutsch, Erik Trostmann, Michael Weber, ...
3DOR
2009
13 years 5 months ago
SkelTre - Fast Skeletonisation for Imperfect Point Cloud Data of Botanic Trees
Terrestrial laser scanners capture 3D geometry as a point cloud. This paper reports on a new algorithm aiming at the skeletonisation of a laser scanner point cloud, representing a...
Alexander Bucksch, Roderik C. Lindenbergh, Massimo...