This paper presents an algorithm using 2D image processing and/or arti cial intelligence tech-
niques to nd correspondences in a known pattern in 14 di erent images. The physical pattern is a
at board with 7 columns divided into ve rows. This results in a total of 35 intersections, which
are the correspondences to be detected in the images.
2019/2020