1: Read frames L(n × m) and R(n × m)

2: Set template size: template(n × n)

3: Select the template in Left Image:

4: Initialize template T

5: Compute row means of T

6: Compute template relationship array Tr from T

7: Search for Similarity in Right Image:

8: Initialize best match variable:minDissimilav rity

9: Select parallel rows Rc(n × m) on the R(n × m) 10: Compute column means of the matrix Rcn × m

11: Compute Relationship array Rr from Rc

12: for i = 0; length(Rr); i++ do

13: Dissimilarity[i] = Tr(i)-Rr(i)

14: Best Match position:

15: Row = get rows of Rr

16: Column = min(Dissimilarity) + n/2