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» Fast Point Feature Histograms (FPFH) for 3D registration
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ICRA
2009
IEEE
259views Robotics» more  ICRA 2009»
13 years 11 months ago
Fast Point Feature Histograms (FPFH) for 3D registration
— In our recent work [1], [2], we proposed Point Feature Histograms (PFH) as robust multi-dimensional features which describe the local geometry around a point p for 3D point clo...
Radu Bogdan Rusu, Nico Blodow, Michael Beetz
RAS
2008
139views more  RAS 2008»
13 years 3 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...
3DPVT
2006
IEEE
216views Visualization» more  3DPVT 2006»
13 years 11 months ago
Anatomically-Aware, Automatic, and Fast Registration of 3D Ear Impression Models
We present a registration framework based on feature points of anatomical 3D shapes represented in the point cloud domain. Anatomical information is utilized throughout the comple...
Alexander Zouhar, Tong Fang, Gozde B. Unal, Gregor...
IROS
2009
IEEE
200views Robotics» more  IROS 2009»
13 years 11 months ago
Fast geometric point labeling using conditional random fields
— In this paper we present a new approach for labeling 3D points with different geometric surface primitives using a novel feature descriptor – the Fast Point Feature Histogram...
Radu Bogdan Rusu, Andreas Holzbach, Nico Blodow, M...
CVPR
2008
IEEE
14 years 6 months ago
Automatic registration of aerial imagery with untextured 3D LiDAR models
A fast 3D model reconstruction methodology is desirable in many applications such as urban planning, training, and simulations. In this paper, we develop an automated algorithm fo...
Min Ding, Kristian Lyngbaek, Avideh Zakhor