Estimate Homography to do 2D to 3D integration (11)

I. Preparing meeting

II. Reuslts:

     1. Modification of my metric:

Changing the of type of color marker, using some morphology operations, considering a function eclipse fitting, adapting projection transformation instead of using affine one 

Check the central position in either Kinect frame and hand-held camera image in red circles... they should be right on the centre of the circle

Check the error of same central points in the hand-held camera image: substract the position before and after 'Projective transformation'

     2. Experimental results 1: different hh-img transform points back into the Kinect frame

Left column: assign points; Middle column: using affine transformation + average metric of 'tform()'; Right column: using projective transformation (our proposed method)

     3. Experimental results 2: different hh-img transform points back into the themselves
       
            - This is for checking the correction of the given form of projective transformation

Left column: assign points; Middle column: using affine transformation + average metric of 'tform()'; Right column: using projective transformation (our proposed method)

      4.  Experimental results 3: different hh-img transform points back into the same hh-img 1

       
            - This is for checking whether scale, height of object from the plane, resolution are issues for those offsets in previous results.

Left column: assign points; Middle column: using affine transformation + average metric of 'tform()'; Right column: using projective transformation (our proposed method)