In this tutorial, you will learn how to extend the functionality of surface-based matching with MVTec HALCON by also using edges of objects in the 3D scene. Using the procedure debug_find_surface_model, we will optimize the used parameters and check the matching result.
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. Additionally, we take a quick look at additional options like defining symmetries or restrict the range of rotations of searched matches.
From May 7 to 10, 2019 LMI Technologies exhibited at Control 2019 in Stuttgart, Germany. With 871 exhibitors from 33 countries, Control is the world's leading trade fair for quality assurance.
Visitors were able to experience LMI's flagship Gocator 3D smart sensors for inline inspection, including interactive sensor playgrounds with LIVE demos of laser line profilers and snapshot sensors as well as a brand new multi sensor networking demo with full 360 views of the scan target, and a Gocator-powered robotic solution for the automative industry.
