Normalize points in Python so that RMS distance from origin will be sqrt2












1















I want to implement the DLT algorithm and I have 6 object points (X,Y,Z,1).T and 6 image points (u,v,1).T , that are the projection of the object points to an image plane.



So before implementing the DLT I have to normalize data.



More specific I found that I have to do the following:
2D image points should be normalized so that their centroid is at the origin and their root-mean-square distance from the origin is sqrt(2)



Any idea how I can do that in python?






normalization points normalize







share|improve this question



























    1















    I want to implement the DLT algorithm and I have 6 object points (X,Y,Z,1).T and 6 image points (u,v,1).T , that are the projection of the object points to an image plane.



    So before implementing the DLT I have to normalize data.



    More specific I found that I have to do the following:
    2D image points should be normalized so that their centroid is at the origin and their root-mean-square distance from the origin is sqrt(2)



    Any idea how I can do that in python?






    normalization points normalize







    share|improve this question

























      1












      1








      1








      I want to implement the DLT algorithm and I have 6 object points (X,Y,Z,1).T and 6 image points (u,v,1).T , that are the projection of the object points to an image plane.



      So before implementing the DLT I have to normalize data.



      More specific I found that I have to do the following:
      2D image points should be normalized so that their centroid is at the origin and their root-mean-square distance from the origin is sqrt(2)



      Any idea how I can do that in python?






      normalization points normalize







      share|improve this question














      I want to implement the DLT algorithm and I have 6 object points (X,Y,Z,1).T and 6 image points (u,v,1).T , that are the projection of the object points to an image plane.



      So before implementing the DLT I have to normalize data.



      More specific I found that I have to do the following:
      2D image points should be normalized so that their centroid is at the origin and their root-mean-square distance from the origin is sqrt(2)



      Any idea how I can do that in python?






      normalization points normalize




      normalization points normalize






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Jan 18 at 21:43









      VaniasVanias

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