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» Recognition of Parametrised Models from 3D Data
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UAI
2004
13 years 9 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,...
CVPR
2007
IEEE
14 years 9 months ago
Inferring Grammar-based Structure Models from 3D Microscopy Data
Joseph Schlecht, Kobus Barnard, Ekaterina Spriggs,...
MICCAI
2009
Springer
14 years 4 months ago
Fast Automatic Segmentation of the Esophagus from 3D CT Data Using a Probabilistic Model
Automated segmentation of the esophagus in CT images is of high value to radiologists for oncological examinations of the mediastinum. It can serve as a guideline and prevent confu...
Johannes Feulner, Shaohua Kevin Zhou, Alexander Ca...
WAPCV
2004
Springer
14 years 1 months ago
Visual Attention for Object Recognition in Spatial 3D Data
In this paper, we present a new recognition system for the fast detection and classification of objects in spatial 3D data. The system consists of two main components: A biologic...
Simone Frintrop, Andreas Nüchter, Hartmut Sur...
ICRA
2009
IEEE
144views Robotics» more  ICRA 2009»
14 years 2 months ago
Clothes state recognition using 3D observed data
Abstract— In this paper, we propose a deformable-modeldriven method to recognize the state of hanging clothes using three-dimensional (3D) observed data. For the task to pick up ...
Yasuyo Kita, Toshio Ueshiba, Ee Sian Neo, Nobuyuki...