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» Recovering Spheres from 3D Point Data
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CVPR
2009
IEEE
14 years 11 months ago
Visibility Constraints on Features of 3D Objects
To recognize three-dimensional objects it is important to model how their appearances can change due to changes in viewpoint. A key aspect of this involves understanding which o...
Ronen Basri, Pedro F. Felzenszwalb, Ross B. Girshi...
CGI
2001
IEEE
13 years 8 months ago
A Hybrid Approach to the Recovery of Deformable Superquadric Models from 3D Data
The problem of recovering the shape of objects from three-dimensional data is important to many areas of computer graphics and vision. We present here a method for the recovery of...
James Sinnott, Toby Howard
CVPR
1996
IEEE
14 years 6 months ago
Determining Correspondences and Rigid Motion of 3-D Point Sets with Missing Data
This paper addresses the general 3-D rigid motion problem, where the point correspondences and the motion parameters between two sets of 3-D points are to be recovered. The existe...
Xiaoguang Wang, Yong-Qing Cheng, Robert T. Collins...
CVPR
1997
IEEE
13 years 8 months ago
Using Local 3D Structure for Segmentation of Bone from Computer Tomography Images
In this paper we focus on using local 3D structure for segmentation. A tensor descriptor is estimated for each neighbourhood, i.e. for each voxel in the data set. The tensors are ...
Carl-Fredrik Westin, Abhir Bhalerao, Ron Kikinis, ...
JMIV
2000
125views more  JMIV 2000»
13 years 4 months ago
Recognizing 3D Objects Using Tactile Sensing and Curve Invariants
A general paradigm for recognizing 3D objects is offered, and applied to some geometric primitives (spheres, cylinders, cones, and tori). The assumption is that a curve on the surf...
Daniel Keren, Ehud Rivlin, Ilan Shimshoni, Isaac W...