Our research focuses on basic problems in visual computing and is strongly linked to various disciplines, such as computational imaging and intelligent optics, visual analytics for natural and life sciences, and games user research and analytics.
Our focus branches in three main areas: computer vision and computer graphics, visual data science, and game computing and games analytics. In all three branches, AI/machine learning has become a relevant tool for problem-solving.
Research in visual computing has evolved tremendously in the last decade. Besides classical topics, including image processing, visualization, and rendering, interactive systems such as computational imaging, games, augmented reality, and virtual reality have become more and more relevant.
Not only the rapid development of graphics hardware and machine learning, but also stronger overlap with interdisciplinary fields, such as computer vision, applied optics, visual perception, and human-computer interaction, shaped visual computing in the previous years and made it into what it is today: an exciting and multidisciplinary field of research with applications in almost all aspects of our modern life.