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» Recovering Spheres from 3D Point Data
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CVPR
2006
IEEE
14 years 10 months ago
Fully Automatic Registration of 3D Point Clouds
We propose a novel technique for the registration of 3D point clouds which makes very few assumptions: we avoid any manual rough alignment or the use of landmarks, displacement ca...
Ameesh Makadia, Alexander Patterson, Kostas Daniil...
ICIAR
2010
Springer
14 years 1 months ago
Real-Time Scale Invariant 3D Range Point Cloud Registration
Abstract. Stereo cameras, laser rangers and other time-of-flight ranging devices are utilized with increasing frequency as they can provide information in the 3D plane. The abilit...
Anuj Sehgal, Daniel Cernea, Milena Makaveeva
COMSIS
2010
13 years 6 months ago
3D point pattern matching based on spatial geometric flexibility
We propose a new method for matching two 3D point sets of identical cardinality with global similarity but local non-rigid deformations and distribution errors. This problem arises...
Xiaopeng Wei, Xiaoyong Fang, Qiang Zhang, Dongshen...
IJCV
1998
233views more  IJCV 1998»
13 years 8 months ago
A Level-Set Approach to 3D Reconstruction from Range Data
This paper presents a method that uses the level sets of volumes to reconstruct the shapes of 3D objects from range data. The strategy is to formulate 3D reconstruction as a stati...
Ross T. Whitaker
ECCV
1998
Springer
14 years 10 months ago
A Solution for the Registration of Multiple 3D Point Sets Using Unit Quaternions
Registering 3D point sets is a common problem in computer vision. The case of two point sets has been analytically well solved by several authors. In this paper we present an analy...
Raouf Benjemaa, Francis Schmitt