In computer vision, any two images on the same plane is related by a matrix called homographic matrix, which contains information about rotation and translation between two images. To find the homographic matrix of two images, more than 3 pairs of non-collinear features point correspondences are required. To put it in another way, we need at least 3 pairs of matching points in each image that are not linear to each other to find relative translation and rotation. To find these points, we will use the aforementioned QR Code because each QR Code provides 4 feature points, any two of which are not collinear.