speaker: Zuzana Kúkelová, Czech Technical University in Prague
date: 18/5/2011, 14:30
location: DISI Sala Conferenze (room 322, 3rd floor)
Abstract: Many problems in computer vision can be formulated using systems of algebraic equations. Often, these systems are not trivial and therefore special algorithms have to be designed to achieve numerical robustness and computational efficiency when solving them. In this talk we will briefly discuss two methods for creating such efficient solvers for computer vision problems. One is based on Groebner basis methods for solving systems of polynomial equations and one on polynomial eigenvalue problems and resultants. We will also introduce the automatic generator of Groebner basis solvers which could be used even by non-experts to solve problems resulting in systems of polynomial equations. Finally we will show several new solutions to absolute and relative pose problems which we have created using the two presented methods.