Student projects

 

Current PhD projects

Christoffer Bøgelund Rasmussen Automatic Harvest Quality Monitoring
Kasper Skou Ladefoged Reflective Reconstruction and Estimation
Stefan Hein Bengtson Computer Vision for Robotic Welfare Technology
Chaudhary Muhammad Aqdus Ilyas Computer Vision Techniques for Social Robot Interaction for the Citizens with Traumatic Brain Injury
Ivan Adriyanov Nikolov Wind Turbine Blade Leading Edge Roughness Inspection
Noor Ul Huda Computer Vision in Sports
Anne Juhler Hansen Aesthetic Quality Control
Aske Rasch Lejbølle Queue estimation by vision-based re-identification (Industrial PhD with BLIP Systems)
Mark Philip Philipsen Adaptive and self-learning slaughterhouse robots (Industrial PhD with Danish Meat Research Institute – Teknologisk Institut)
Morten Bornø Jensen Automatic Analysis of Vulnerable Road Users using Multi-Modal and View Traffic Data
Anders Jørgensen Automatic veterinary inspection of chicken (Industrial PhD with IHFood)
Chris Bahnsen Robust Tracking of People using Thermal Cameras
Jeppe Veirum Larsen Musical Motivated Movement

 

Past PhD projects

Ramin Irani Computer Vision Based Methods for Detection and Measurement of Psychophysiological Indicators, 2017. Link
Mohammad Ahsanul Haque Signal Processing Methods for Automatic In-Home Medical Diagnosis and Monitoring, 2016. Link
Rasmus Skovgaard Andersen Human-Assisted Computer Vision Methods for Industrial Mobile Robots, 2016. Link
Huamin Ren Computer Vision Methods for Abnormality Detection in Video Data, 2016
Andreas Møgelmose Computer Vision Methods for Detection and Re-identification of People, 2015. Link
Martin Sandau Christiansen Markerless Motion Capture, 2015
Rikke Gade Taking the temperature of sports arenas – Automatic analysis of people, 2015. Link
Michael B. Holte Vision-Based 2D and 3D Human Activity Recognition, 2012. Link
(Best Nordic PhD Thesis Award in Field of Image Analysis and Pattern Recognition 2011-2012)
Preben Fihl Automatic Video-based Analysis of Human Motion, 2011. Link
Kamal Nasrollahi A Computer Vision Story on Video Sequences: From Face Detection to Face Super- Resolution using Face Quality Assessment, 2011. Link

 

Master theses
Link