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» Recovering Articulated Object Models from 3D Range Data
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Publication
241views
13 years 9 months ago
Fast and Automatic Object Pose Estimation for Range Images on the GPU
We present a pose estimation method for rigid objects from single range images. Using 3D models of the objects, many pose hypotheses are compared in a data-parallel version of t...
In Kyu Park, Marcel Germann, Michael D. Breitenste...
ICCV
1998
IEEE
14 years 10 months ago
Shape Recovery Using Dynamic Subdivision Surfaces
A new dynamic subdivision surface model is proposed for shape recovery from 3D data sets. The model inherits the attractive properties of the Catmull-Clark subdivision scheme and ...
Chhandomay Mandal, Baba C. Vemuri, Hong Qin
PAMI
2006
132views more  PAMI 2006»
13 years 8 months ago
Rapid Object Indexing Using Locality Sensitive Hashing and Joint 3D-Signature Space Estimation
We propose a new method for rapid 3D object indexing that combines feature-based methods with coarse alignment-based matching techniques. Our approach achieves a sublinear complexi...
Bogdan Matei, Ying Shan, Harpreet S. Sawhney, Yi T...
PR
2008
228views more  PR 2008»
13 years 8 months ago
Accurate integration of multi-view range images using k-means clustering
3D modelling finds a wide range of applications in industry. However, due to the presence of surface scanning noise, accumulative registration errors, and improper data fusion, re...
Hong Zhou, Yonghuai Liu
CVPR
2010
IEEE
14 years 3 months ago
Finding Nemo: Deformable Object Class Modelling using Curve Matching
An image search for “clownfish” yields many photos of clownfish, each of a different individual of a different 3D shape in a different pose. Yet, to the human observer, this...
Mukta Prasad, Andrew Fitzgibbon