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CVPR
2005
IEEE
14 years 9 months ago
Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov Random Fields (MRFs) which support ef...
Dragomir Anguelov, Benjamin Taskar, Vassil Chatalb...
ICCV
2007
IEEE
14 years 9 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 ...
SMI
2007
IEEE
164views Image Analysis» more  SMI 2007»
14 years 1 months ago
Topology driven 3D mesh hierarchical segmentation
In this paper, we propose to address the semanticoriented 3D mesh hierarchical segmentation problem, using enhanced topological skeletons [18]. This high level information drives ...
Julien Tierny, Jean-Philippe Vandeborre, Mohamed D...
MICCAI
2010
Springer
13 years 5 months ago
3D Knowledge-Based Segmentation Using Pose-Invariant Higher-Order Graphs
Segmentation is a fundamental problem in medical image analysis. The use of prior knowledge is often considered to address the ill-posedness of the process. Such a process consists...
Chaohui Wang, Olivier Teboul, Fabrice Michel, Salm...
VC
2010
207views more  VC 2010»
13 years 5 months ago
Protrusion-oriented 3D mesh segmentation
Abstract In this paper, we present a segmentation algorithm which partitions a mesh based on the premise that a 3D object consists of a core body and its constituent protrusible pa...
Alexander Agathos, Ioannis Pratikakis, Stavros J. ...