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» Sparse Image Reconstruction using Sparse Priors
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BMVC
1998
15 years 5 months ago
The Precision of 3D Reconstruction from Uncalibrated Views
We consider reconstruction algorithms using points tracked over a sequence of (at least three) images, to estimate the positions of the cameras (motion parameters), the 3D coordin...
Etienne Grossmann, José Santos-Victor
IVC
2000
186views more  IVC 2000»
15 years 3 months ago
Uncertainty analysis of 3D reconstruction from uncalibrated views
We consider reconstruction algorithms using points tracked over a sequence of (at least three) images, to estimate the positions of the cameras (motion parameters), the 3D coordin...
Etienne Grossmann, José Santos-Victor
VISUALIZATION
1999
IEEE
15 years 8 months ago
Splatting Without the Blur
Splatting is a volume rendering algorithm that combines efficient volume projection with a sparse data representation: Only voxels that have values inside the iso-range need to be...
Klaus Mueller, Torsten Möller, Roger Crawfis
ICMCS
2005
IEEE
138views Multimedia» more  ICMCS 2005»
15 years 9 months ago
Overcomplete ICA-based Manmade Scene Classification
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
Matthew Boutell, Jiebo Luo
JMLR
2010
152views more  JMLR 2010»
14 years 10 months ago
Bayesian Generalized Kernel Models
We propose a fully Bayesian approach for generalized kernel models (GKMs), which are extensions of generalized linear models in the feature space induced by a reproducing kernel. ...
Zhihua Zhang, Guang Dai, Donghui Wang, Michael I. ...