[SciPy-user] optimize.leastsq

[Kfir Breger]

  I am working on a camera calibration tool in python. In order to achive
taht i need to use a non linear least square fitting. I have a series of
3d points M and their counterpart 2d points m. I also have a first
estimation of the projection/rotation matrix H. so im trying to solve MH
= m. my fit fnction calculatse m_project (the value of the 2d point as
projected by H) then returns the square of m = m_project, it is clear to
see that minimizing this function will give the best H.
  The problem is i cant get it to work. I get a value error about
something being nested to deep. any1 got an idea? is it at all posible
to use optimize.leastsq in this fashion?

    Greatings
         Kfir Breger