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CATEGORIES:Microsoft Research Cambridge\, public talks
SUMMARY:Algebraic methods in computer vision and automatic
generation of efficient algebraic solvers - Zuzan
a Kukelova\, Center for Machine Perception/Martin
Bujnak\, Capturing Reality s.r.o.
DTSTART;TZID=Europe/London:20131118T140000
DTEND;TZID=Europe/London:20131118T150000
UID:TALK48941AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/48941
DESCRIPTION:Many problems in computer vision can be formulated
using systems of polynomial equations. Often\, th
ese systems are not trivial and therefore special
algorithms have to be designed to achieve numerica
l robustness and computational efficiency when sol
ving them.\nIn the first talk\, presented by Zuzan
a Kukelova\, we will briefly discuss two algebraic
methods for creating such efficient solvers for c
omputer vision problems. One is based on Groebner
basis methods for solving systems of polynomial eq
uations and one on polynomial eigenvalue problems
and resultants.\nIn the second talk\, presented by
Martin Bujnak\, we will introduce the automatic g
enerator of such efficient Groebner basis solvers
which could be used even by non-experts to solve p
roblems resulting in systems of polynomial equatio
ns.\nWe will present several methods for speeding
up such solvers based on Groebner bases and action
matrix eigenvalue computations. \nFinally we will
show several new solutions to absolute and relati
ve pose problems which we have created using the t
wo presented methods.
LOCATION:Small Lecture Theatre\, Microsoft Research Ltd\, 2
1 Station Road\, Cambridge\, CB1 2FB
CONTACT:Microsoft Research Cambridge Talks Admins
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