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...
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...
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 ...
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...
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...