3D Human Face Analysis for recognition applications and motion capture
DIGEP Lunch Seminar with Nicole Dagnes
The face is one of the most important parts of the human anatomy; it is a huge source of information and plays an essential role in social interaction.
The present research project is intended as a geometrical study of the three-dimensional facial surface, in order to provide an application framework of entities coming from Differential Geometry context to use as facial descriptors in face analysis applications. Indeed, although every visage is unique, all faces are similar and their morphological features are the same for all mankind. Hence, it is primary for face analysis to extract suitable features. All the facial features, proposed in this study, are based only on the geometrical properties of the facial surface and have been applied in the description of facial surface in pattern recognition contexts, like face recognition (FR) and facial expression recognition (FER) fields.
Finally, this study also focuses on musculoskeletal disorders analysis by proposing an objective quantification of facial movements for helping maxillofacial surgery and facial motion rehabilitation. For evaluating facial muscles function, this research work investigates the 3D motion capture system, adopting the Technology, Sport and Health Platform, located in the Innovation Centre of the University of Technology of Compiègne, in the Biomechanics and Bioengineering Laboratory (BMBI), which is an excellent research tool for interdisciplinary contexts. This research work topic is part of the project linking the UTC to the University Hospital of Amiens.