Research project

The goal of this project is to improve the intrinsic calibration and to reduce the depth distance error of real-time 3-D imaging sensors such as Time-of-Flight (ToF) cameras. Many applications of depth sensors in 3-D scene analysis require data with a reliable absolute accuracy. For instance gesture recognition, collision prevention and medical imaging applications like patient positioning, respiratory motion detection or quantitative endoscopy. By the last one, the classical endoscopy is extended for an intraoperative 3-D endoscopy as the ToF imaging mode provides quantitative surface data in addition to 2-D color imaging. The theoretical feasibility and benefits of many applications in this domain has been demonstrated, but their practical realization requires a deeper insight into the causes of different measurement artifacts and the development of advanced quantitative calibration technique