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Nowadays, motion capture with light and markers is valid tool for medical applications. However, in the face analysis domain, a framework for defining the optimal marker set layout does not exist yet.

Therefore, the objective of this study is to propose an automatic approach to compute the optimized layout with the minimum number of facial marker.

Hundred and twenty-two distinct face motion captures, acquired through 18 optoelectronic cameras T160 and two Bonita video cameras at a frequency of 100 Hz, have been analysed. Every capture contains the 3D coordinates of 109 markers (Ø 1.5 mm) fixed by a trained physiotherapist on the facial skin surface.

The six facial movements acquired are the closure of the eyes, the forced closure of the eyes, the pronunciation of the sounds [o] and [pμ], a smile, and a spontaneous smile. These movements have been chosen due to …