Introduction

Introduction

Daijin Kim (Pohang University of Science & Technology, Korea) and Jaewon Sung (LG Electronics, Korea)
Copyright: © 2009 |Pages: 4
DOI: 10.4018/978-1-60566-216-9.ch001
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Abstract

Communication between one human and another is the hallmark of our species. According to neuropsychology, the human face is the primary tool in human communication among all social communication instruments (Perry et. al., 1998). One of the most important pieces of information that the human face carries may be the identity. By recognizing the identity of a person, we can feel comfortable with familiar faces, sometimes uncomfortable with unfamiliar ones (as when a baby cries when a strange face shows up), and recall our memories of conversations with the person, which brings rich backgrounds and context information for smooth conversation.
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Goals Of The Automated Face Analysis

Machines may not need all of the communication skills that people need; however, there is evidence that machines will require at least some of these skills to appear intelligent when interacting with people. A relevant theory is that of Reeves and Nass (1996) at Stanford. Human-computer interaction is inherently natural and social, following the basics of human-human interaction. For example, if a piece of technology talks to you but never listens to you, then it is likely to annoy you, analogous to the situation where a human talks to you but never listens to you. Nass and Reeves conducted dozens of experiments of classical human-human interaction, taking out one of the humans and putting in a computer, and finding that the basic human-human results still holds.

In general, the aforementioned human communication skills include many modalities such as visual, and autotory channels. Among the many skills, this book concentrates on the skills that are based on visual sensing of the human eyes. Thus, the ultimate goal of the automated face analysis that researchers dream of is to catch all the visual messages that a human face brings, and to understand the meaning of them, and to automatically react to the human in an appropriate and natural way so that the human can easily communicate with any computer, robot, or machine as the human communicates with another human.

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Table of Contents
Acknowledgment
Chapter 1
Introduction  (pages 1-4)
Daijin Kim, Jaewon Sung
Communication between one human and another is the hallmark of our species. According to neuropsychology, the human face is the primary tool in... Sample PDF
Introduction
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Chapter 2
Daijin Kim, Jaewon Sung
Face detection is the most fundamental step for the research on image-based automated face analysis such as face tracking, face recognition, face... Sample PDF
Face and Eye Detection
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Chapter 3
Face Modeling  (pages 45-91)
Daijin Kim, Jaewon Sung
In the field of computer vision, researchers have proposed many techniques for representation and analysis of the varying shape of objects, such as... Sample PDF
Face Modeling
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Chapter 4
Face Tracking  (pages 92-162)
Daijin Kim, Jaewon Sung
When we want to analyze the continuous change of the face in an image sequence, applying face tracking methods is a better choice than applying the... Sample PDF
Face Tracking
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Chapter 5
Face Recognition  (pages 163-254)
Daijin Kim, Jaewon Sung
In the modern life, the need for personal security and access control is becoming an important issue. Biometrics is the technology which is expected... Sample PDF
Face Recognition
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Chapter 6
Daijin Kim, Jaewon Sung
The facial expression has long been an interest for psychology, since Darwin published The expression of Emotions in Man and Animals (Darwin, C.... Sample PDF
Facial Expression Recognition
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Chapter 7
Daijin Kim, Jaewon Sung
From facial gestures, we can extract many kinds of messages in human communication: they represent visible speech signals and clarify whether our... Sample PDF
Facial Gesture Recognition
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Chapter 8
Human Motion Analysis  (pages 326-397)
Daijin Kim, Jaewon Sung
Human motion analysis (Moeslund et. al., 2006; Wang et. al., 2003) is currently one of the most active research areas in computer vision due both to... Sample PDF
Human Motion Analysis
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Abbreviations and Important Symbols
About the Authors