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IVC
2000
186views more  IVC 2000»
13 years 5 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
ICRA
2010
IEEE
138views Robotics» more  ICRA 2010»
13 years 3 months ago
Maximum likelihood mapping with spectral image registration
Abstract— A core challenge in probabilistic mapping is to extract meaningful uncertainty information from data registration methods. While this has been investigated in ICP-based...
Max Pfingsthorn, Andreas Birk 0002, Sören Sch...
ICIP
2010
IEEE
13 years 3 months ago
View synthesis based on Conditional Random Fields and graph cuts
We propose a novel method to synthesize intermediate views from two stereo images and disparity maps that is robust to errors in disparity map. The proposed method computes a plac...
Lam C. Tran, Christopher J. Pal, Truong Q. Nguyen
TSP
2010
12 years 12 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
MA
2010
Springer
132views Communications» more  MA 2010»
13 years 3 months ago
Model selection by sequentially normalized least squares
Model selection by the predictive least squares (PLS) principle has been thoroughly studied in the context of regression model selection and autoregressive (AR) model order estima...
Jorma Rissanen, Teemu Roos, Petri Myllymäki