Using points for matching requires points that lie on the same image structure in the 2 images. SIFT points are commonly used because they are invariant to translation, rotation, and scale. The lecture give the theory behind the SIFT points: how they are defined, how they are located and the 128 dimensional vector that describes the neighbourhood around the point.