Thesis - Possible improvement of Edge matching algorithm in a combined 2D and 3D environment?

Today’s Edge matching algorithms for 3D data mostly operate on a 2,5D image, a projected image of the 3D point clouds, where height is color coded in the resulting 2D image. This data input to edge finding algorithms are sometimes not reliable enough especially for objects with small 3D details where edges in 3D can be unreliable, for example can be missing or several smoothed into one. As a result the edge finding algorithm will sometimes fail or at least give poor results back.

Can we find a way to improve todays 2,5D Edge matcher by combining the data and features from the 2D and 3D domain respectively?
Outcome is a result/algorithm that we hope can directly replace todays Edge matcher algorithm in PLB, for the cameras where we can generate both 2D and 3D data at same time.

Prerequisites

Good skills and high interest in areas such as machine vision, 2D and 3D image processing, programming, algorithm development, mathematics. 

Contact

For more information about the position, contact:

Anders Moe, Robot Guidance Systems, +46 729 71 25 27

or

Charlotte Axelsson, HR Manager, +46 739 20 99 50.

Welcome with your application 15th of October at the latest! We make ongoing selections and offer our thesis opportunity as soon as we have found the right person.

If you would like to write your thesis in a pair, please provide us with one application where you  attach both your CVs  and extracts of study results and one mutual cover letter.

SICK is a world-leading supplier of sensors and sensor solutions for industrial applications. We are 11 000 employees in 50 countries and our headquarter is located in Freiburg, Germany. SICK in Linköping is an innovation center for Machine Vision and we are 80 committed employees with a big interest in image processing and visualization. For more than 35 years, our team at SICK Linköping has successfully developed and delivered software for technically leading products within the field of 2D and 3D vision, as well as system solutions for i.e. robot guidance and quality control.

At SICK in Linköping, we are very proud of being a healthy and attractive workplace. For many years, we have been elected as one of the best workplaces in Sweden according to the survey Great Place to Work, the latest award is from 2023. We work actively to reduce our climate footprint and we are active in various ways to contribute to the society and to increase diversity at our workplace.