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3D Face recognition

Dr. Charles Beumier
Royal Military Academy of Belgium

Biometric solutions have recently gained much interest due to emerging security needs related to the increasing mobility of data and people. Although technical and commercial biometric solutions exist today (fingerprint, iris, retina, …), face analysis kept an important advantage of being well accepted by users.

The lecture will describe the activities of the RMA/SIC department in the field of Automatic Face Recognition. After outlining the difficulties for lighting, pose and stable features in the frontal face analysis, a prototype developed for automatic profile identification will be presented. The advantages of this geometrical approach were the motivations of our 3-dimensional face recognition approach. We will describe the structured light system developed for the 3D capture of faces and the approach for the comparison of 3D facial surfaces.

with support from