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» Surface Reconstruction using Learned Shape Models
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CVPR
2006
IEEE
14 years 9 months ago
Reconstructing Occluded Surfaces Using Synthetic Apertures: Stereo, Focus and Robust Measures
Most algorithms for 3D reconstruction from images use cost functions based on SSD, which assume that the surfaces being reconstructed are visible to all cameras. This makes it dif...
Vaibhav Vaish, Marc Levoy, Richard Szeliski, C. La...
JRTIP
2007
109views more  JRTIP 2007»
13 years 7 months ago
Robust GPU-assisted camera tracking using free-form surface models
We propose a marker-less model-based camera tracking approach, which makes use of GPU-assisted analysis-by-synthesis methods on a very wide field of view (e.g. fish-eye) camera. ...
Kevin Köser, Bogumil Bartczak, Reinhard Koch
CVPR
2005
IEEE
14 years 9 months ago
Complex 3D Shape Recovery Using a Dual-Space Approach
This paper presents a novel method for reconstructing complex 3D objects with unknown topology using silhouettes extracted from image sequences. This method exploits the duality p...
Chen Liang, Kwan-Yee Kenneth Wong
ECCV
2000
Springer
14 years 9 months ago
On Utilising Template and Feature-Based Correspondence in Multi-view Appearance Models
In principle, the recovery and reconstruction of a 3D object from its 2D view projections require the parameterisation of its shape structure and surface re ectance properties. Exp...
Sami Romdhani, Alexandra Psarrou, Shaogang Gong
ICCV
1995
IEEE
13 years 11 months ago
Adaptive Shape Evolution Using Blending
We propose a shape representation scheme which allows two shapes to be combined into a single model. The desired regions of the two shapes are selected, and then merged together f...
Douglas DeCarlo, Dimitris N. Metaxas