3-D motion estimation in model-based facial image coding
Li, H.
Roivainen, P.
Forchheimer, R.
Dept. of Electr. Eng., Linkoping Univ.;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Jun 1993
Volume: 15,
Issue: 6
On page(s): 545-555
ISSN: 0162-8828
References Cited: 34
CODEN: ITPIDJ
INSPEC Accession Number: 4465220
Digital Object Identifier: 10.1109/34.216724
Current Version Published: 2002-08-06
Abstract
An approach to estimating the motion of the head and facial
expressions in model-based facial image coding is presented. An affine
nonrigid motion model is set up. The specific knowledge about facial
shape and facial expression is formulated in this model in the form of
parameters. A direct method of estimating the two-view motion parameters
that is based on the affine method is discussed. Based on the reasonable
assumption that the 3-D motion of the face is almost smooth in the time
domain, several approaches to predicting the motion of the next frame
are proposed. Using a 3-D model, the approach is characterized by a
feedback loop connecting computer vision and computer graphics.
Embedding the synthesis techniques into the analysis phase greatly
improves the performance of motion estimation. Simulations with long
image sequences of real-world scenes indicate that the method not only
greatly reduces computational complexity but also substantially improves
estimation accuracy
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