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» Surface Reconstruction using Learned Shape Models
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CVPR
2010
IEEE
14 years 5 months ago
Surface Extraction from Binary Volumes with Higher-Order Smoothness
A number of 3D shape reconstruction algorithms, in particular 3D image segmentation methods, produce their results in the form of binary volumes, where a binary value indicates whe...
Victor Lempitsky
VMV
2001
113views Visualization» more  VMV 2001»
13 years 10 months ago
Fully-Automatic Branch Labelling of Voxel Vessel Structures
Today, it is possible to acquire volume representations of the vessel structures in the brain. The selfadjusting probe, a new tool introduced in a previous paper, enables semi-aut...
Jan Bruijns
ICIP
2006
IEEE
14 years 11 months ago
A Profile Hidden Markov Model Framework for Modeling and Analysis of Shape
In this paper we propose a new framework for modeling 2D shapes. A shape is first described by a sequence of local features (e.g., curvature) of the shape boundary. The resulting ...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
CVPR
2008
IEEE
14 years 11 months ago
Learning 4D action feature models for arbitrary view action recognition
In this paper we present a novel approach using a 4D (x,y,z,t) action feature model (4D-AFM) for recognizing actions from arbitrary views. The 4D-AFM elegantly encodes shape and m...
Pingkun Yan, Saad M. Khan, Mubarak Shah
ICCV
2003
IEEE
14 years 11 months ago
Surface Reconstruction by Integrating 3D and 2D Data of Multiple Views
Surface representation is needed for almost all modeling and visualization applications, but unfortunately, 3D data from a passive vision system are often insufficient for a tradi...
Maxime Lhuillier, Long Quan