Photo of Rasmus Reinhold Paulsen

Rasmus Reinhold Paulsen

Associate Professor

  • Richard Petersens Plads, 324, 110

    2800 Kgs. Lyngby

    Denmark

20012021

Research activity per year

If you made any changes in Pure these will be visible here soon.

Personal profile

Profile

Rasmus R. Paulsens research is within medical image analysis. Currently he is focusing on 3D surface based image analysis, with special attention to the human face and skull. RP did his PhD in the industry and has worked as a development engineer, where he acquired a structured approach to implementation and applied research. Key research topics are implicit surface representations, geometry processing, statistical shape models, facial feature analysis, and the general connection between genetics and biometric measurements. In 2008 RP received a three years research grant from the Oticon Foundation, where the goal was create an open 3D database of human heads and torsos. These models are for example used for sound field simulation in the hearing aid industry. Furthermore, RP has developed a set of algorithms for patient motion tracking during PET scanning. These are also based on his work on surfaces.

Other information

Visiting Ph.D. student at INRIA Sophia-Antipolis, France for 16 months.

Language Skills:
Danish
English
French

Research areas

Medical Image Analysis, 3D image analysis, computer graphics, geometry processing, head scanning, ear modelling.

Education/Academic qualification

Ph.D., Technical University of Denmark and Oticon A/S

20012004

M.Sc (Eng), Technical University of Denmark

19921998

External positions

Assistant Professor, Technical University of Denmark

20082009

Development Engineer, Oticon A/S

20042008

Industrial Ph.D. Student, Oticon A/S

20012004

Research Engineer, Pronosco A/S

19982001

Keywords

  • User defined:
  • 3D surface acquisition
  • medical image analysis
  • Computational geometry
  • Human head scanning

Fingerprint

Dive into the research topics where Rasmus Reinhold Paulsen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 7 Similar Profiles

Network

Recent external collaboration on country level. Dive into details by clicking on the dots or
If you made any changes in Pure these will be visible here soon.