Thesis opportunity- 3D Scene reconstruction from a series of stereo images taken from a robot
What the Master Thesis is about/background to the problem to investigate A series of images are taken by a stereo camera mounted on a robot. The robot moves along a trajectory which is to some degree known. The task is to reconstruct the 3D scene based on the series of images. This will give a richer description of the target where more hidden surfaces are exposed and where stereo reconstruction artifacts can be rejected. The final goal is to provide the means to locate objects at higher accuracy and more robustly than from just one image. The master thesis work focuses on the following/example of research questions Robot trajectories can be known to different degree, investigate how these affects the reconstruction result. Some examples:
Not known at all
Smooth motion
Trajectory known but not synched in time with the camera
Trajectory known and synched with camera
Prerequisites Good skills and high interest in areas such as machine vision, mathematics and programming.
Contact For more information about the position, contact: Andreas Wrangsjö, Team Manager, Robot Guidance Systems, +46 728 530 320 or Sarah Lantz, HR Business Partner, +46 739 10 99 37. Welcome with your application 20th of October at the latest! SICK is a world-leading supplier of sensors and sensor solutions for industrial applications. We are 12 000 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 90 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.