Sciweavers

Share
ICIP
1998
IEEE

Deriving Facial Articulation Models from Image Sequences

9 years 9 months ago
Deriving Facial Articulation Models from Image Sequences
In this paper, human facial articulation models are derived from frontal and side view image sequences using 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.
Hai Tao, Thomas S. Huang
Added 26 Oct 2009
Updated 26 Oct 2009
Type Conference
Year 1998
Where ICIP
Authors Hai Tao, Thomas S. Huang
Comments (0)
books