Analysis and Synthesis of Facial Expressions

Analysis and Synthesis of Facial Expressions

Peter Eisert (Fraunhofer Institute for Telecommunications, Germany)
DOI: 10.4018/978-1-59140-299-2.ch007
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Abstract

In this chapter, the state-of-the-art in facial animation and expression analysis is reviewed and new techniques for the estimation of 3-D human motion, deformation, and facial expressions from monocular video sequences are presented. Since illumination has a considerable influence on the appearance of objects in a scene, methods for the derivation of photometric scene properties from images are also addressed. For a particular implementation, the potential of these analysis techniques is illustrated for applications like character animation and model-based video coding. Experiments have shown that the usage of 3-D computer models allows video transmissions at bit-rates of a few kbit/s, enabling a wide variety of new applications.

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Table of Contents
Chapter 1
Angel Sappa, Sotiris Malassiotis
This chapter presents a survey of the most recent vision-based human body modeling techniques. It includes sections covering the topics of 3D human... Sample PDF
Advances in Vision-Based Human Body Modeling
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Chapter 2
Marius Preda, Ioan A. Salomie, Françoise Preteux, Gauthier Lafruit
Besides being one of the well-known audio/video coding techniques, MPEG-4 provides additional coding tools dedicated to virtual character animation.... Sample PDF
Virtual Character Definition and Animation within the MPEG-4 Standard
$37.50
Chapter 3
B. J. Lei, E. A. Hendriks, Aggelos K. Katsaggelos
This chapter presents an extensive overview of passive camera calibration techniques. Starting with a detailed introduction and mathematical... Sample PDF
Camera Calibration for 3D Reconstruction and View Transformation
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Chapter 4
Burak Ozer, Tiehan Lv, Wayne Wolf
This chapter focuses on real-time processing techniques for the reconstruction of visual information from multiple views and its analysis for human... Sample PDF
Real-Time Analysis of Human Body Parts and Gesture-Activity Recognition in 3D
$37.50
Chapter 5
Kostas Karpouzis, Amaryllis Raouzaiou, Athanasios Drosopoulos, Spiros Ioannou, Themis Balomenos, Nicolas Tsapatsoulis
This chapter presents a holistic approach to emotion modeling and analysis and their applications in Man-Machine Interaction applications. Beginning... Sample PDF
Facial Expression and Gesture Analysis for Emotionally-Rich Man-Machine Interaction
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Chapter 6
Ana C. Andres del Valle, Jean-Luc Dugelay
This chapter presents a state-of-the-art compilation on facial motion and expression analysis. The core of the chapter includes the description and... Sample PDF
Techniques for Face Motion & Expression Analysis on Monocular Images
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Chapter 7
Peter Eisert
In this chapter, the state-of-the-art in facial animation and expression analysis is reviewed and new techniques for the estimation of 3-D human... Sample PDF
Analysis and Synthesis of Facial Expressions
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Chapter 8
Gregor A. Kalberer, Pascal Müller, Luc Van Gool
The problem of realistic face animation is a difficult one. This is hampering a further breakthrough of some high-tech domains, such as special... Sample PDF
Modeling and Synthesis of Realistic Visual Speech in 3D
$37.50
Chapter 9
Markus Kampmann, Liang Zhang
This chapter introduces a complete framework for automatic adaptation of a 3D face model to a human face for visual communication applications like... Sample PDF
Automatic 3D Face Model Adaptation with Two Complexity Modes for Visual Communication
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Chapter 10
Zhen Wen, Pengyu Hong, Jilin Tu, Thomas S. Huang
This chapter presents a unified framework for machine-learning-based facial deformation modeling, analysis and synthesis. It enables flexible... Sample PDF
Learning 3D Face Deformation Model: Methods and Applications
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Chapter 11
Nikos Karatzoulis, Costas T. Davarakis, Dimitrios Tzovaras
This chapter presents a number of promising applications and provides an overview of recent developments and techniques in the area of analysis and... Sample PDF
Synthesis and Analysis Techniques for the Human Body: R&D Projects
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About the Authors