@TechReport{Heller-TR-2010-13,
  IS = { zkontrolovano 11 Apr 2011 },
  UPDATE  = { 2011-04-11 },
author =      {Heller, Jan},
supervisor =  {Tom{\'a}{\v s} Pajdla},
title =       {Global Optimization Techniques in Camera and 
               Robot Calibration -- {PhD} Thesis Proposal},
institution = {Center for Machine Perception, K13133 FEE
               Czech Technical University},
address =     {Prague, Czech Republic},
year =        {2010},
month =       {August},
type =        {Research Report},
number =      {CTU--CMP--2010--13},
issn =        {1213-2365},
pages =       {40},
figures =     {10},
authorship =  {100},
psurl       = {[Heller-TR-2010-13.pdf]},
annote =      {The advantages of vision-guided robots are widely
    recognized in industry and any improvement in the field has a
    lagre practical impact.  First, we present state of the art in
    globally optimal algorithms in computer vision. The main
    mathematical aproaches that can be noticed in the field are
    discussed: polynomial methods, quasi-convex optimization,
    branch-and-bound al- gorithm and convex relaxation schemes.  Next,
    we review the problem of camera-robot calibration. The Hand-Eye
    and Robot-World calibrations are presented and the problem of
    vision-aided calibration is formulated.  The main goal of the
    thesis is to apply and augment the methods of computer vision in
    the field of vision-aided robotics and to present a practical
    global optimiza- tion technique for vision-aided robot
    calibration.  },
keywords =    {camera calibration, robot calibration, global optimization},
project     = {FP7-SPACE-218814 PRoVisG only EU, SGS10/277/OHK3/3T/13},
}