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» Supershape Recovery from 3D Data Sets
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FOCM
2008
100views more  FOCM 2008»
13 years 10 months ago
Meshfree Thinning of 3D Point Clouds
An efficient data reduction scheme for the simplification of a surface given by a large set X of 3D point-samples is proposed. The data reduction relies on a recursive point remov...
Nira Dyn, Armin Iske, Holger Wendland
CVIU
1999
238views more  CVIU 1999»
13 years 10 months ago
A Coarse to Fine 3D Registration Method Based on Robust Fuzzy Clustering
An important problem in computer vision is to determine how features extracted from images are connected to an existing model. In this paper, we focus on solving the registration ...
Jean-Philippe Tarel, Nozha Boujemaa
ICPR
2010
IEEE
13 years 8 months ago
3D Vertebral Body Segmentation Using Shape Based Graph Cuts
Bone mineral density (BMD) measurements and fracture analysis of the spine bones are restricted to the Vertebral bodies (VBs). In this paper, we propose a novel 3D shape based met...
Melih S. Aslan, Asem M. Ali, Aly A. Farag, Ham M. ...
CVPR
2012
IEEE
12 years 24 days ago
Point cloud matching based on 3D self-similarity
Point cloud is one of the primitive representations of 3D data nowadays. Despite that much work has been done in 2D image matching, matching 3D points achieved from different pers...
Jing Huang, Suya You
BMCBI
2010
268views more  BMCBI 2010»
13 years 10 months ago
A high-level 3D visualization API for Java and ImageJ
Background: Current imaging methods such as Magnetic Resonance Imaging (MRI), Confocal microscopy, Electron Microscopy (EM) or Selective Plane Illumination Microscopy (SPIM) yield...
Benjamin Schmid, Johannes E. Schindelin, Albert Ca...