I am master degree student at Computer Science Department. I started master degree at this year. Now I'm reading two papers about computer vision. Actually before time I didn't have experience about computer vision. so I am not familiar with the concepts used in this field.
OK. I want start question. I am reading these paper. 1) Template Matching using Fast Normalized Cross Correlation by "Kai Briechle and Uwe D. Hanebeck 2) Fast Template Matching by J.P. Lewis
I wonder why two red box term to be constant and remove. I thank that just mathematically. Who can explain to me? by using some picture or easily. I don't understand by image processing field.
Question 2. In the above "1) paper" I don't understand red box term (average value) to be that. because, In usually We can calculate average value like this (value1 + value2 / 2)