Tips for 2D and 3D pattern matching in machine vision applications

Pattern matching can be one of the most important functions in a machine vision system. Take, for example, vision-guided robotics. Pattern-matching algorithms are widely used in pick-and-place robotic systems where a camera is used to guide a robot to pick and place randomly oriented parts.

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Pattern matching can be one of the most important functions in a machine vision system. Take, for example, vision-guided robotics. Pattern-matching algorithms are widely used in pick-and-place robotic systems where a camera is used to guide a robot to pick and place randomly oriented parts. Pattern matching, for both 2D and 3D systems, is used in multiple applications, but choosing the right method is an important step in achieving accuracy in your system.

On October 30, Heiko Eisele, President of MVTec, LLC, will explain how pattern matching works and in what applications it is used. Those who register for the webcast will learn different methods and how to choose the right one for their application. Eisele will also provide insight into the algorithms used behind the scenes that will enable an end user to optimize performance and accuracy in their system.

This webcast is sponsored by MVTec.

Webcast information:

Performing effective 2D and 3D pattern matching in machine vision applications
October 30, 2014
11:00 AM EST (Approximately one hour)
Heiko Eisele, President, MVTec, LLC.

Click here for registration information.

Also check out:
MVTec introduces HALCON online user’s forum
MVTec previews HALCON 12 machine vision software
Industrial Inspection: Line-scan-based vision system tackles color print inspection

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