Visual Computing is a generic term for all computer science disciplines handling with images and 3D models, i.e. computer graphics, image processing, visualization, computer vision, virtual and augmented reality, video processing, but also includes aspects of pattern recognition, human computer interaction, machine learning and digital libraries. The core challenges are the acquisition, processing, analysis and rendering of visual information (mainly images and video). Application areas include industrial quality control, medical image processing and visualization, surveying, robotics, multimedia systems, virtual heritage, special effects in movies and television, and computer games.

The Visual Computing Group conducts state-of-the-art research in a variety of topics related to Computer Graphics (CG), Computer Vision (CV), Virtual Reality (VR) and Augmented Reality (AR), Machine Learning (ML), and Pattern Recognition (PR). Core areas of research include :

• Point Cloud Processing
  

• AI-Generated Content (AIGC)
  

• Machine Learning for CG/CV
  

• Control Theory for CG/CV