I am a master's student in the Computer Department.
I started the master in this year.
I am now reading two articles on computer vision.
Actually, before time I had no experience in machine vision. Therefore, I am not familiar with the concepts used in this field.
OK. I want to start question.
I am reading these papers.
1) Template matching using fast normalized cross correlation
by "Kai Briechle and Uwe D. Hanebeck
2) Quick template matching
by J.P. Lewis
Question 1. In the "2) document above, we can see the formula as below, f (x, y) is the image source, t (x, y) is
I wonder why two terms in the red box are constant and eliminate. I appreciate that only mathematically.
Who can explain me? using a photo or easily. I do not understand by field of image processing.
Question 2. In the "1) previous document" I do not understand that the red box term (average value) is that.
because, in general, we can calculate the average value in this way (value1 + value2 / 2)