A Method for Estimating View Transformations from Image Correspondences Based on the Harmony Search Algorithm

Procedure 1

Step  1.  Set the parameters HMS, HMCR, PAR, BW and NI.

Step  2. Initialize the HM and calculate the objective function value of each harmony vector.

Step  3. Improvise a new harmony as follows:

     for ( = 1 to ) do

      if ( < HMCR) then

       Select randomly a number where

        =

       if ( < PAR) then

         where

       end if

       if

       end if

       if

       end if

      else

       , where

      end if

     end for

Step  4. Update the HM as if

Step  5. If NI is completed, the best harmony vector according to its fitness value in the HM is

     returned; otherwise go back to Step  3.