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» Computational Topology for Shape Modeling
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TMI
2008
154views more  TMI 2008»
13 years 9 months ago
Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models
In this paper, a hybrid discriminative/generative model for brain anatomical structure segmentation is proposed. The learning aspect of the approach is emphasized. In the discrimin...
Zhuowen Tu, Katherine Narr, Piotr Dollár, I...
ICCV
2007
IEEE
14 years 11 months ago
Separating Parts from 2D Shapes using Relatability
It's often important to analyze shapes as made up of parts. But there are two ways to think of how parts fit together. We can characterize the remainder of a shape after a pa...
Xiaofeng Mi, Douglas DeCarlo
CVPR
2008
IEEE
13 years 10 months ago
Loose shape model for discriminative learning of object categories
We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
Margarita Osadchy, Elran Morash
CVPR
2005
IEEE
14 years 11 months ago
Optimal Sub-Shape Models by Minimum Description Length
Active shape models are a powerful and widely used tool to interpret complex image data. By building models of shape variation they enable search algorithms to use a priori knowle...
Georg Langs, Philipp Peloschek, Horst Bischof
ICRA
1995
IEEE
167views Robotics» more  ICRA 1995»
14 years 16 days ago
Modeling of Linear Objects Considering Bend, Twist, and Extensional Deformations
A systematic approach to the modeling of deformable ne linear objects is presented. Various deformable objects are manipulated in many manufacturing processes. Deformation of the...
Hidefumi Wakamatsu, Shinichi Hirai, Kazuaki Iwata