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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»
13 years 10 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»
13 years 11 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
13 years 10 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»
13 years 10 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»
13 years 10 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...