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SCIA
2009
Springer
183views Image Analysis» more  SCIA 2009»
13 years 11 months ago
Globally Optimal Least Squares Solutions for Quasiconvex 1D Vision Problems
Abstract. Solutions to non-linear least squares problems play an essential role in structure and motion problems in computer vision. The predominant approach for solving these prob...
Carl Olsson, Martin Byröd, Fredrik Kahl
CVPR
2009
IEEE
14 years 11 months ago
Projective Least-Squares: Global Solutions with Local Optimization
Recent work in multiple view geometry has focused on obtaining globally optimal solutions at the price of computational time efciency. On the other hand, traditional bundle adj...
Carl Olsson, Fredrik Kahl, Richard I. Hartley
CVPR
2006
IEEE
14 years 6 months ago
Uncertainty Models in Quasiconvex Optimization for Geometric Reconstruction
Geometric reconstruction problems in computer vision can be solved by minimizing the maximum of reprojection errors, i.e., the L-norm. Unlike L2-norm (sum of squared reprojection ...
Qifa Ke, Takeo Kanade
CVPR
2008
IEEE
14 years 6 months ago
Least squares surface reconstruction from measured gradient fields
This paper presents a new method for the reconstruction of a surface from its ? and ? gradient field, measured, for example, via Photometric Stereo. The new algorithm produces the...
Matthew Harker, Paul O'Leary
CORR
2011
Springer
187views Education» more  CORR 2011»
12 years 11 months ago
Global Stability Analysis of Fluid Flows using Sum-of-Squares
This paper introduces a new method for proving global stability of fluid flows through the construction of Lyapunov functionals. For finite dimensional approximations of fluid...
Paul Goulart, Sergei Chernyshenko