Paper Info
Title
3-D motion estimation and wireframe adaptation including photometric effects for model-based coding of facial image sequences
Abstract
Proposes a novel formulation where 3D global and local motion estimation and the adaptation of a generic wireframe model to a particular speaker are considered simultaneously within an optical flow based framework including the photometric effects of the motion. We use a flexible wireframe model whose local structure is characterized by the normal vectors of the patches which are related to the coordinates of the nodes. Geometrical constraints that describe the propagation of the movement of the nodes are introduced, which are then efficiently utilized to reduce the number of independent structure parameters. A stochastic relaxation algorithm has been used to determine optimum global motion estimates and the parameters describing the structure of the wireframe model. Results with both simulated and real facial image sequences are provided
Year
DOI
Venue
1994
10.1109/76.305870
Circuits and Systems for Video Technology, IEEE Transactions  
Keywords
Field
DocType
image coding,image sequences,motion estimation,parameter estimation,photometry,3D motion estimation,facial image sequences,geometrical constraints,independent structure parameters,local motion estimation,local structure,model-based coding,normal vectors,optical flow based framework,optimum global motion estimates,patches,photometric effects,propagation,speaker,stochastic relaxation algorithm,wireframe adaptation
Computer vision,Computer science,Image processing,Stochastic process,Digital image,Coding (social sciences),Artificial intelligence,Estimation theory,Motion estimation,Data compression,Optical flow
Journal
Volume
Issue
ISSN
4
3
1051-8215
Citations 
PageRank 
References 
40
4.83
12
Authors
3
Name
Order
Citations
PageRank
G. Bozdagi122121.93
A. Murat Tekalp22603278.04
Levent Onural311016.83