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» 3D Reconstruction Using Labeled Image Regions
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PAMI
2010
417views more  PAMI 2010»
13 years 5 months ago
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
Zhuowen Tu, Xiang Bai
ICMCS
1999
IEEE
202views Multimedia» more  ICMCS 1999»
13 years 11 months ago
A Human-Assisted System to Build 3-D Models from a Single Image
We present a system at the junction between Computer Vision and Computer Graphics, to produce a 3-D model of an object as observed in a single image, with a minimum of high-level ...
Alexandre R. J. François, Gérard G. ...
3DPVT
2006
IEEE
160views Visualization» more  3DPVT 2006»
14 years 1 months ago
Geometry Refinement of 3D Surfaces Using Kriging
3D imaging is a popular method for acquiring accurate models for a variety of applications. However, the size of the geometric features that can be modeled in this manner is depen...
Brad Grinstead, Andreas Koschan, Mongi A. Abidi
PAMI
2006
358views more  PAMI 2006»
13 years 7 months ago
Recovering 3D Human Pose from Monocular Images
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 pri...
Ankur Agarwal, Bill Triggs
ICIP
2008
IEEE
14 years 9 months ago
Multiple image disparity correction for 3-D scene representation
This paper analyses the reconstruction of a 3-D scene from multiple images. The proposed approach uses a voxel representation for initializing an implicit radial basis function (R...
Matthew Grum, Adrian G. Bors