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Optimize your 3D Data for Surface-based 3D-Matching with MVTec HALCON

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:

Introduction to Surface-based Matching with MVTec HALCON

Edge-supported Surface-based 3D-Matching with MVTec HALCON