Subpixel localization with deep learning

Motivation

To improve the absolute accuracy of industrial robot arms computer vision based approaches are applied. The 6D pose of a sample mounted at the robot endeffector has to be estimated very accurately within a large measuring range. The image resolution of conventional cameras is not good enough to achieve these diverging goals. With subpixel algorithms the image resolution can be artificially increased. This enables the localization of features in the subpixel realm.

Topics 

  • Feature modeling
  • Feature localization
  • Optimization methods

Skills 

  • Python skills are preferable
  • Computer vision skills are preferable
  • Deep learning skills are preferable

Categories:

Research Sector:

Biomechatronics

Type of thesis:

Bachelor Thesis, Master Thesis, Project Thesis

Major:

Energy Engineering, Informatics, IPEM, Engineering, Mechatronics, Medical engineering

Major:

Artificial Intelligence and Machine Learning, Medical engineering, Software Engineering and Deployment

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