A Flexible Object Model for Recognising and Synthesising Facial Expressions

We here introduce the Flexible Object Model to represent objects with structured deformation, such as the human face under variable expression. The model represents object shape and texture separately and extracts a data parameterisation autonomously from image sequences after initialisation by a si...

Full description

Saved in:
Bibliographic Details
Published inAudio- and Video-Based Biometric Person Authentication pp. 81 - 90
Main Authors Tewes, Andreas, Würtz, Rolf P., von der Malsburg, Christoph
Format Book Chapter Conference Proceeding
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2005
Springer
SeriesLecture Notes in Computer Science
Subjects
Active Appearance Model
Applied sciences
Artificial intelligence
Computer science; control theory; systems
Exact sciences and technology
Facial Expression
Gabor Wavelet
Neutral Expression
Pattern recognition. Digital image processing. Computational geometry
Shape Deformation
Face recognition
Image processing
Image sequence
Image databank
Facies
Graph theory
Modeling
Texture
Facial expression
Online AccessGet full text

Cover

More Information
Summary:We here introduce the Flexible Object Model to represent objects with structured deformation, such as the human face under variable expression. The model represents object shape and texture separately and extracts a data parameterisation autonomously from image sequences after initialisation by a single hand-labeled model graph. We apply the model to the representation, recognition and reconstruction of nine different facial expressions. After training, the model is capable of automatically finding facial landmarks, extracting deformation parameters and reconstructing faces in any of the learned expressions.
ISBN:9783540278870
3540278877
ISSN:0302-9743
1611-3349
DOI:10.1007/11527923_9