Tracking facial feature points with Gabor wavelets and shape models

Tracking facial feature points with Gabor wavelets and shape models

A feature-based approach to tracking rigid and non-rigid facial motion is described. Feature points are characterised using Gabor wavelets and can be individually tracked by phase-based displacement estimation. In order to achieve robust tracking a flexible shape model is used to impose global const...

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Hauptverfasser: McKenna, Stephen J., Gong, Shaogang, Würtz, Rolf P., Tanner, Jonathan, Banin, Daniel
Format: Buchkapitel
Sprache:eng
Schlagworte:
Face Shape
Facial Motion
Feature Point
Gabor Wavelet
Shape Model
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creator McKenna, Stephen J.
Gong, Shaogang
Würtz, Rolf P.
Tanner, Jonathan
Banin, Daniel
description A feature-based approach to tracking rigid and non-rigid facial motion is described. Feature points are characterised using Gabor wavelets and can be individually tracked by phase-based displacement estimation. In order to achieve robust tracking a flexible shape model is used to impose global constraints upon the local feature points and to constrain the tracker. While there are many applications in facial analysis, the approach can be used for tracking other textured objects.
doi_str_mv 10.1007/BFb0015977
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identifier ISSN: 0302-9743
ispartof Audio- and Video-based Biometric Person Authentication, 1997, p.35-42
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1611-3349
language eng
recordid cdi_springer_books_10_1007_BFb0015977
source Springer Books
subjects Face Shape
Facial Motion
Feature Point
Gabor Wavelet
Shape Model
title Tracking facial feature points with Gabor wavelets and shape models
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