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Table of Contents
Preface; Contents; Contributors; Introduction; Part I User Understanding ThroughMultisensory Perception; 1 Face and Facial Expressions Recognition and Analysis; 1.1 Introduction; 1.2 Literature Review; 1.2.1 Uniform LBP; 1.2.2 Fuzzy LBP; 1.2.3 LTP and Its Variants; 1.2.4 Preprocessing; 1.2.5 Discussion; 1.3 Noise-Resistant Local Binary Patterns; 1.3.1 Problem Analysis of LBP and LTP; 1.3.2 Noise-Resistant LBP; 1.3.3 Extended Noise-Resistant LBP; 1.3.4 Applications on Face and Facial Expression Recognition; 1.4 Experimental Results; 1.4.1 Facial Expression Recognition on the AR Database.
1.4.2 Face Recognition on the AR Database1.4.3 Face Recognition on the Extended Yale B Database; 1.4.4 Face Recognition on the O2FN Mobile Database; 1.4.5 Comparison of Computational Complexity; 1.5 Conclusion; References; 2 Body Movement Analysis and Recognition; 2.1 Introduction; 2.2 Problematic; 2.3 State of the Art; 2.4 Recent Approaches; 2.4.1 System Overview; 2.4.2 Human Upper Body Gesture Understanding; 2.5 Future Avenues; 2.6 Conclusion; References; 3 Sound Source Localization and Tracking; 3.1 Introduction; 3.2 Overview of Sound Source Localization and Tracking Algorithms.
3.2.1 Mathematical Formulation of Sound Source Localization3.2.2 Sound Source Localization Using Beamforming-Based Approach; 3.2.3 Sound Source Tracking Using Particle Filter-Based Approach; 3.3 Proposed Robust Speech Source Tracking; 3.3.1 The Harmonic Structure in the Speech Spectrogram; 3.3.2 Speech Source Tracking in the Presence of Sound Interference; 3.3.3 Simulation Results; 3.4 Integration with Social Robot; 3.5 Future Avenues; 3.6 Conclusions; References; Part II Facial and Body Modelling Animation; 4 Modelling Conversation; 4.1 Learning Conversation Skills; 4.2 The State of the Art.
4.3 Summary of Our Approach4.4 The Capture, Processing and Interpreting of Non-verbal Speech Cues; 4.4.1 Protocols for Capturing of Speech Data; 4.4.2 Processing the Speech Data as Measures; 4.4.3 Interpreting the Measures as Metameasures; 4.5 The Visualisation of the Data; 4.5.1 Metaphor and Data Visualisation; 4.5.2 Time and Data Visualisation; 4.5.3 Game Engines and Data Visualisation; 4.5.4 Our Approach; 4.6 User Study and Discussion; 4.6.1 Task 1; 4.6.2 Task 2; 4.6.3 Task 3; 4.6.4 Task 4; 4.7 Conclusion; References; 5 Personalized Body Modeling; 5.1 Introduction.
5.2 State of the Art on Personalized Body Shape Reconstruction5.2.1 Shape Reconstruction from Measurement Data; 5.2.2 Building and Searching in a Shape Space; 5.2.3 Dynamic data ; 5.3 2D-3D Registration of a Morphable Model; 5.3.1 Dynamic data ; 5.3.2 Shape Recovery by Searching Deformation Space; 5.3.3 Mapping Textures; 5.3.4 Single Image Input; 5.4 Conclusion; References; 6 Parameterized Facial Modelling and Animation; 6.1 Introduction; 6.2 Parametric Representation of Facial Model; 6.2.1 Linear/Multilinear Space of Facial Meshes; 6.2.2 Linear Space of Mesh Deformation.
1.4.2 Face Recognition on the AR Database1.4.3 Face Recognition on the Extended Yale B Database; 1.4.4 Face Recognition on the O2FN Mobile Database; 1.4.5 Comparison of Computational Complexity; 1.5 Conclusion; References; 2 Body Movement Analysis and Recognition; 2.1 Introduction; 2.2 Problematic; 2.3 State of the Art; 2.4 Recent Approaches; 2.4.1 System Overview; 2.4.2 Human Upper Body Gesture Understanding; 2.5 Future Avenues; 2.6 Conclusion; References; 3 Sound Source Localization and Tracking; 3.1 Introduction; 3.2 Overview of Sound Source Localization and Tracking Algorithms.
3.2.1 Mathematical Formulation of Sound Source Localization3.2.2 Sound Source Localization Using Beamforming-Based Approach; 3.2.3 Sound Source Tracking Using Particle Filter-Based Approach; 3.3 Proposed Robust Speech Source Tracking; 3.3.1 The Harmonic Structure in the Speech Spectrogram; 3.3.2 Speech Source Tracking in the Presence of Sound Interference; 3.3.3 Simulation Results; 3.4 Integration with Social Robot; 3.5 Future Avenues; 3.6 Conclusions; References; Part II Facial and Body Modelling Animation; 4 Modelling Conversation; 4.1 Learning Conversation Skills; 4.2 The State of the Art.
4.3 Summary of Our Approach4.4 The Capture, Processing and Interpreting of Non-verbal Speech Cues; 4.4.1 Protocols for Capturing of Speech Data; 4.4.2 Processing the Speech Data as Measures; 4.4.3 Interpreting the Measures as Metameasures; 4.5 The Visualisation of the Data; 4.5.1 Metaphor and Data Visualisation; 4.5.2 Time and Data Visualisation; 4.5.3 Game Engines and Data Visualisation; 4.5.4 Our Approach; 4.6 User Study and Discussion; 4.6.1 Task 1; 4.6.2 Task 2; 4.6.3 Task 3; 4.6.4 Task 4; 4.7 Conclusion; References; 5 Personalized Body Modeling; 5.1 Introduction.
5.2 State of the Art on Personalized Body Shape Reconstruction5.2.1 Shape Reconstruction from Measurement Data; 5.2.2 Building and Searching in a Shape Space; 5.2.3 Dynamic data ; 5.3 2D-3D Registration of a Morphable Model; 5.3.1 Dynamic data ; 5.3.2 Shape Recovery by Searching Deformation Space; 5.3.3 Mapping Textures; 5.3.4 Single Image Input; 5.4 Conclusion; References; 6 Parameterized Facial Modelling and Animation; 6.1 Introduction; 6.2 Parametric Representation of Facial Model; 6.2.1 Linear/Multilinear Space of Facial Meshes; 6.2.2 Linear Space of Mesh Deformation.