Title
Facial Performance Transfer via Deformable Models and Parametric Correspondence.
Abstract
The issue of transferring facial performance from one person’s face to another’s has been an area of interest for the movie industry and the computer graphics community for quite some time. In recent years, deformable face models, such as the Active Appearance Model (AAM), have made it possible to track and synthesise faces in real-time. Not surprisingly, deformable face model based approaches for facial performance transfer have gained tremendous interest in the computer vision and graphics community. In this paper, we focus on the problem of real-time facial performance transfer using the AAM framework. We propose a novel approach of learning the mapping between the parameters of two completely independent AAMs, using them to facilitate the facial performance transfer in a more realistic manner than previous approaches. The main advantage of modelling this parametric correspondence is that it allows a “meaningful” transfer of both the non-rigid shape and texture across faces irrespective of the speakers’ gender, shape and size of the faces, and illumination conditions. We explore linear and non-linear methods for modelling the parametric correspondence between the AAMs and show that the sparse linear regression method performs the best.
Year
DOI
Venue
2012
10.1109/TVCG.2011.157
IEEE Trans. Vis. Comput. Graph.
Keywords
Field
DocType
real-time facial performance transfer,deformable face model,tremendous interest,cross-language facial performance transfer,parametric correspondence,facial performance,facial performance transfer,computer graphics community,deformable models,computer vision,aam framework,computational modeling,solid modeling,image texture,active appearance models,active appearance model,face,regression analysis,cinematography,shape
Graphics,Computer vision,Image texture,Computer science,Active appearance model,Parametric statistics,Animation,Artificial intelligence,Solid modeling,Cinematography,Computer graphics
Journal
Volume
Issue
ISSN
18
9
1941-0506
Citations 
PageRank 
References 
7
0.55
19
Authors
4
Name
Order
Citations
PageRank
Akshay Asthana172925.02
Miles de la Hunty270.55
Abhinav Dhall3103552.61
Roland Goecke4132369.44