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ICIP
2007
IEEE

Super-Resolved Facial Texture Under Changing Pose and Illumination

12 years 3 months ago
Super-Resolved Facial Texture Under Changing Pose and Illumination
In this paper, we propose a method to incrementally superresolve 3D facial texture by integrating information frame by frame from a video captured under changing poses and illuminations. First, we recover illumination, 3D motion and shape parameters from our tracking algorithm. This information is then used to super-resolve 3D texture using Iterative BackProjection (IBP) method. Finally, the super-resolved texture is fed back to the tracking part to improve the estimation of illumination and motion parameters. This closed-loop process continues to refine the texture as new frames come in. We also propose a local-region based scheme to handle non-rigidity of the human face. Experiments demonstrate that our framework not only incrementally super-resolves facial images, but recovers the detailed expression changes in high quality.
Jiangang Yu, Bir Bhanu, Yilei Xu, Amit K. Roy Chow
Added 21 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2007
Where ICIP
Authors Jiangang Yu, Bir Bhanu, Yilei Xu, Amit K. Roy Chowdhury
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