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Fiting a surface of best fit to a set of data points

  1. Dec 3, 2009 #1
    Hello all,

    I am trying to fit a surface to a 1920x1080 grid of evenly spaced data points. The values are supposed to be more or less uniform (its an image of a uniform white light source). So I would like to fit a plane to it (but maybe a paraboloid if it is not quiete uniform). What method should I use? A least squares approach? I cant seem to find much on google for this. Does anyone have an approach, or perhaps could recommend some literature which covers this?

  2. jcsd
  3. Dec 3, 2009 #2
    Last edited: Dec 3, 2009
  4. Dec 4, 2009 #3
    I was able to figure it out . The usual least squares method applies to this. I fit z = Ax + By + C by creating a matrix of sums etc etc. It worked out nicely for the 3D case, same as for the 2D.

    Thank you,
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