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» Point cloud matching based on 3D self-similarity
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ICAT
2006
IEEE
14 years 13 days ago
Locating Anatomical Points on Foot from 3D Point Cloud Data
Algorithms are proposed to automatically locate the foot anatomical points from scanned 3D point data based on a novel method that uses the pternion point for foot alignment, wher...
Jianhui Zhao, Ravindra S. Goonetilleke
ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
14 years 1 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, ...
IVC
2006
227views more  IVC 2006»
13 years 6 months ago
Automatic registration of overlapping 3D point clouds using closest points
While the SoftAssign algorithm imposes a two-way constraint embedded into the deterministic annealing scheme and the EMICP algorithm imposes a one-way constraint, they represent t...
Yonghuai Liu
RAS
2008
139views more  RAS 2008»
13 years 4 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...
CVIU
2004
246views more  CVIU 2004»
13 years 6 months ago
3-D reconstruction of static human body shape from image sequence
The generation of 3-D models from uncalibrated image sequences is a challenging problem that has been investigated in many research activities in the last decade. In particular, a...
Fabio Remondino