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» Using Hierarchical EM to Extract Planes from 3D Range Scans
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ICRA
2005
IEEE
116views Robotics» more  ICRA 2005»
10 years 4 months ago
Using Hierarchical EM to Extract Planes from 3D Range Scans
— Recently, the acquisition of three-dimensional maps has become more and more popular. This is motivated by the fact that robots act in the three-dimensional world and several t...
Rudolph Triebel, Wolfram Burgard, Frank Dellaert
ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
10 years 5 months ago
Revisiting uncertainty analysis for optimum planes extracted from 3D range sensor point-clouds
—In this work, we utilize a recently studied more accurate range noise model for 3D sensors to derive from scratch the expressions for the optimum plane which best fits a point-...
Kaustubh Pathak, Narunas Vaskevicius, Andreas Birk...
3DIM
2005
IEEE
10 years 4 months ago
Automatic Burr Detection on Surfaces of Revolution Based on Adaptive 3D Scanning
This paper describes how to automatically extract the presence and location of geometrical irregularities on a surface of revolution. To this end a partial 3D scan of the workpiec...
Kasper Claes, Thomas P. Koninckx, Herman Bruyninck...
IROS
2008
IEEE
243views Robotics» more  IROS 2008»
10 years 5 months ago
Fast plane detection and polygonalization in noisy 3D range images
— A very fast but nevertheless accurate approach for surface extraction from noisy 3D point clouds is presented. It consists of two parts, namely a plane fitting and a polygonal...
Jann Poppinga, Narunas Vaskevicius, Andreas Birk 0...
3DPVT
2006
IEEE
224views Visualization» more  3DPVT 2006»
10 years 4 months ago
3D Modeling Using Planar Segments and Mesh Elements
Range sensing technology allows the photorealistic modeling of large-scale scenes, such as urban structures. The generated 3D representations, after automated registration, are us...
Ioannis Stamos, Gene Yu, George Wolberg, Siavash Z...
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