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» Unsupervised learning of 3D object models from partial views
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UAI
2004
13 years 6 months ago
Recovering Articulated Object Models from 3D Range Data
We address the problem of unsupervised learning of complex articulated object models from 3D range data. We describe an algorithm whose input is a set of meshes corresponding to d...
Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang,...
3DIM
2011
IEEE
12 years 5 months ago
Toward Automatic 3D Generic Object Modeling from One Single Image
We present a novel method for solving the challenging problem of generating 3D models of generic object categories from just one single un-calibrated image. Our method leverages t...
Min Sun, Shyam Sunder Kumar, Gary R. Bradski, Silv...
ICANN
2010
Springer
13 years 6 months ago
Learning Invariant Visual Shape Representations from Physics
3D shape determines an object's physical properties to a large degree. In this article, we introduce an autonomous learning system for categorizing 3D shape of simulated objec...
Mathias Franzius, Heiko Wersing
CVPR
2007
IEEE
14 years 7 months ago
3D LayoutCRF for Multi-View Object Class Recognition and Segmentation
We introduce an approach to accurately detect and segment partially occluded objects in various viewpoints and scales. Our main contribution is a novel framework for combining obj...
Derek Hoiem, Carsten Rother, John M. Winn
CVIU
2011
12 years 8 months ago
Single and sparse view 3D reconstruction by learning shape priors
In this paper, we aim to reconstruct free-form 3D models from only one or few silhouettes by learning the prior knowledge of a specific class of objects. Instead of heuristically...
Yu Chen, Roberto Cipolla