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» Image Capture Modelling for High Resolution Reconstruction
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ICPR
2006
IEEE
16 years 28 days ago
3D and Infrared Face Reconstruction from RGB data using Canonical Correlation Analysis
In this paper, we apply a multiple regression method based on Canonical Correlation Analysis (CCA) to face data modelling. CCA is a factor analysis method which exploits the corre...
Michael Reiter, Rene Donner, Georg Langs, Horst Bi...
IJISTA
2008
132views more  IJISTA 2008»
14 years 12 months ago
Sub-pixel data fusion and edge-enhanced distance refinement for 2D/3D images
: An important field of reasearch in computer vision is the 3D analysis and reconstruction of objects and scenes. A rather new technologie in this context is the Photonic Mixer Dev...
Marvin Lindner, Martin Lambers, Andreas Kolb
ICIP
2009
IEEE
16 years 27 days ago
A Bayesian Formulation For Sub-pixel Refinement In Stereo Orbital Imagery
Generating accurate three dimensional planetary models is becoming increasingly more important as NASA plans manned missions to return to the moon in the next decade. This paper d...
NIPS
2004
15 years 1 months ago
Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
Hyun-Jin Park, Te-Won Lee
CVPR
2003
IEEE
16 years 1 months ago
Visual Hull Alignment and Refinement Across Time: A 3D Reconstruction Algorithm Combining Shape-From-Silhouette with Stereo
Visual Hull (VH) construction from silhouette images is a popular method of shape estimation. The method, also known as Shape-From-Silhouette (SFS), is used in many applications s...
German K. M. Cheung, Simon Baker, Takeo Kanade