Title :
Deriving facial articulation models from image sequences
Author :
Tao, Hai ; Huang, Thomas S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
Abstract :
Human facial articulation models are derived from frontal and side view image sequences using a connected vibrations non-rigid motion tracking algorithm. First, a 3D head geometric model is fitted to the face subject in the initial frame. The face model is masked with multiple planar membrane patches that are connected with each other. Then, the in-plate facial motions in the image sequences are computed from an over-determined system. Finally, this information is exploited for creating or customizing a facial articulation model
Keywords :
image motion analysis; image sequences; tracking; vibrations; video signal processing; 3D head geometric model; connected vibrations nonrigid motion tracking algorithm; face model; frontal view; human facial articulation models; image sequences; in-plate facial motions; multiple planar membrane patches; over-determined system; side view; video sequences; Biomembranes; Deformable models; Facial animation; Finite element methods; Head; Humans; Image sequences; Least squares approximation; Shape; Solid modeling; Speech; Tracking;
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
DOI :
10.1109/ICIP.1998.727158
