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» Quasiconvex Optimization for Robust Geometric Reconstruction
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ICCV
2005
IEEE
14 years 6 months ago
Quasiconvex Optimization for Robust Geometric Reconstruction
Geometric reconstruction problems in computer vision are often solved by minimizing a cost function that combines the reprojection errors in the 2D images. In this paper, we show t...
Qifa Ke, Takeo Kanade
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
ACCV
2009
Springer
13 years 11 months ago
Planar Scene Modeling from Quasiconvex Subproblems
In this paper, we propose a convex optimization based approach for piecewise planar reconstruction. We show that the task of reconstructing a piecewise planar environment can be se...
Visesh Chari, Anil Kumar Nelakanti, Chetan Jakkoju...
CVPR
2008
IEEE
13 years 11 months ago
Photogeometric structured light: A self-calibrating and multi-viewpoint framework for accurate 3D modeling
Structured-light methods actively generate geometric correspondence data between projectors and cameras in order to facilitate robust 3D reconstruction. In this paper, we present ...
Daniel G. Aliaga, Yi Xu
CVPR
2010
IEEE
14 years 1 months ago
Building Reconstruction using Manhattan-World Grammars
We present a passive computer vision method that exploits existing mapping and navigation databases in order to automatically create 3D building models. Our method defines a gramm...
Carlos Vanegas, Daniel Aliaga, Bedrich Benes