Depth Independent Facial Movement Estimation

h theoretical framework on 3D facial movement -timation for model-based i t n a p coding 1s presented IU this paper. 3D farinl movement tim mar ion la a r l i f ic~~l t prols [em to ~olve because both facld motion parameters and depth plrrametere are rpquirpd to egtlmate simultaneously. W h e n the conventional appraaches m ueed l o handle r h ~ s pmMem, ~ n ~ t i a l estimates of thc dcpth parameters must be prnvidd. The prlorrnances of thme approarhcs are serlouslv a f ~ c t d by the =curacy of the ~rnl~nl estimates of the depth pnrarnetera. In thls paper we prpwnt a depth rndependenr facd movemcnt estimation method ueing thc suhspw~ technique. I n this method a construnt equation related b only the rotntbon motion component i s bullt. The rotation motion can be recovered from thin equatlon without m y knowledge on bclal depth parameters. Once the rotation motion Biw b m n recovered the transIatron rn* tion m d depth parameters can be easily obtmned by an LS method. Due to no knowledge on h i d depth parsmaera b ~ i n ~ eeded, a better perlotmanre 05 k r ~ a l motlon aatimailon can be cxpccted.