In this tutorial, you will learn how to optimize your surface-based matching results with MVTec HALCON by properly preparing the 3D input data.
By working with 2D xyz-mappings, we can optimize the matching process robustly and fast. For example, removing the background of a 3D scene often can both speed up the matching and help avoiding false matches.
Moreover, we take a quick look at additional options like defining symmetries or restricting the range of rotations of searched matches.
Please be sure to check out further video tutorials about surface-based matching: