Section for Visual Computing

Images acts an ever-increasing role in our lives. Images are used for communicating, and a wealth of photos or videos our daily lives are shared instantly. Also, generated image content is very important for visualizing information, both in entertainment and for general communication.

Using images how it is done now, has been made possible by a development in technology, where computing power has increased tremendously and new digital sensors and graphical processing units has allowed images to be recorded and rendered at an impressive rate, even on small handheld devices. Another integral part in this development has been advances in image analysis and computer graphics methods and algorithms, which is the research focus in the Section for Visual Computing.

Besides photography, cameras and other image-generating sensors are used in a very wide range of applications. Various image-generating sensors are the basis for numerous medical diagnosis tools like computed tomography, medical resonance imaging, etc., allowing visualization of our body for precise diagnosis and treatment.

A range of computer vision methods employed in for example industrial automation are based on information obtained from cameras recording production. This can be a camera mounted on a robot performing advanced assembly tasks, where the visual input allows flexibility and extremely high performance. A job that would otherwise require a skilled person performing tedious tasks.

Microscopy is essential for understanding the microstructure of materials used in for example production or materials in biological systems. Here techniques including micro-CT, scanning electron microscopy, optical microscopy, synchrotron imaging, neutron imaging, etc. that allows imaging to the scale of individual atoms. This allows design and development of materials and systems that are essential for our society and daily lives.

Inspection of the earth from airplanes, satellites, or drones is also utilizing cameras and other image-generating sensors. Recording images of light reflected from earth surface allows precise assessment of climate changes, surveillance of crop production, or other human activities. Drones are used for inspection of for example large constructions, and this allows precise documentation and assessment that would otherwise require hazardous inspection by a person.

Utilizing such imaging systems require image analysis methodology, which is the core focus in the section. Our research is aimed at developing methods for analyzing and visualizing images. This includes real time vision systems as well as interpretation and understanding of the imaged objects. Focus of our research is image analysis, computer vision, and computer graphics, which is founded on applied mathematics utilizing machine learning, statistics, and computer science methodology. We cover research from the fundamental understanding of developed methodology to techniques that are used in practical applications, and we aim at finding problem motivated solutions. Therefore, most our work is done in close collaboration external partners from industry, medicine, materials science, or other academics having image analysis problems.


Anders Bjorholm Dahl
Professor MSO, Head of Section
DTU Compute
+45 45 25 39 07


Fie Victoria Hoffensetz
Section Secretary
DTU Compute
+45 45 25 34 34