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» Building Shape Models from Lousy Data
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142
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ICCV
2007
IEEE
16 years 5 months ago
Lung Nodule Growth Analysis from 3D CT Data with a Coupled Segmentation and Registration Framework
In this paper we propose a new framework to simultaneously segment and register lung and tumor in serial CT data. Our method assumes nonrigid transformation on lung deformation an...
Yuanjie Zheng, Karl Steiner, Thomas Bauer, Jingyi ...
133
Voted
MICCAI
2009
Springer
16 years 4 months ago
Automatic Extraction of Mandibular Nerve and Bone from Cone-Beam CT Data
The exact localization of the mandibular nerve with respect to the bone is important for applications in dental implantology and maxillofacial surgery. Cone beam computed tomograph...
Dagmar Kainmueller, Hans Lamecker, Heiko Seim, ...
157
Voted
ISI
2002
Springer
15 years 3 months ago
Getting right answers from incomplete multidimensional databases
Dealing with large volumes of data, OLAP data cubes aggregated values are often spoiled by errors due to missing values in detailed data. This paper suggests to adjust aggregate an...
Sabine Goutier, Georges Hébrail, Vér...
178
Voted
CVPR
2004
IEEE
16 years 5 months ago
3D Human Pose from Silhouettes by Relevance Vector Regression
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pr...
Ankur Agarwal, Bill Triggs
127
Voted
AUSAI
2008
Springer
15 years 5 months ago
Learning a Generative Model for Structural Representations
Abstract. Graph-based representations have been used with considercess in computer vision in the abstraction and recognition of object shape and scene structure. Despite this, the ...
Andrea Torsello, David L. Dowe