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» Surface Reconstruction using Learned Shape Models
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CVPR
2010
IEEE
15 years 11 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»
15 years 4 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
16 years 4 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
16 years 5 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
16 years 5 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