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ICRA
2009
IEEE
259views Robotics» more  ICRA 2009»
14 years 2 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
3DOR
2008
13 years 10 months ago
Isometry-invariant Matching of Point Set Surfaces
Shape deformations preserving the intrinsic properties of a surface are called isometries. An isometry deforms a surface without tearing or stretching it, and preserves geodesic d...
Mauro R. Ruggeri, Dietmar Saupe
CGI
2001
IEEE
13 years 11 months ago
Polygonizing Non-Uniformly Distributed 3D Points by Advancing Mesh Frontiers
30 digitization devices produce very large sets of 3 0 points sampled from the suqaces of the objects being scanned. A mesh construction procedure needs to be:upplied to derive po...
Indriyati Atmosukarto, Luping Zhou, Wee Kheng Leow...
COMPGEOM
2010
ACM
14 years 22 days ago
Approximating loops in a shortest homology basis from point data
Inference of topological and geometric attributes of a hidden manifold from its point data is a fundamental problem arising in many scientific studies and engineering application...
Tamal K. Dey, Jian Sun, Yusu Wang
ISPASS
2006
IEEE
14 years 1 months ago
Comparing multinomial and k-means clustering for SimPoint
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
Greg Hamerly, Erez Perelman, Brad Calder