Advances in Face Image Analysis: Theory and applications
- Length: 438 pages
- Edition: 1
- Language: English
- Publisher: Bentham Science Publishers
- Publication Date: 2016-03-01
- ISBN-10: B01CGEC2NA
- ISBN-13: 9781681081113
- Sales Rank: #0 (See Top 100 Books)
Advances in Face Image Analysis: Theory and applications describes several approaches to facial image analysis and recognition. Eleven chapters cover advances in computer vision and pattern recognition methods used to analyze facial data. The topics addressed in this book include automatic face detection, 3D face model fitting, robust face recognition, facial expression recognition, face image data embedding, model-less 3D face pose estimation and image-based age estimation. The chapters are also written by experts from a different research groups. Readers will, therefore, have access to contemporary knowledge on facial recognition with some diverse perspectives offered for individual techniques. The book is a useful resource for a to a wide audience such as i) researchers and professionals working in the field of face image analysis, ii) the entire pattern recognition community interested in processing and extracting features from raw face images, and iii) technical experts as well as postgraduate computer science students interested in cutting edge concepts of facial image recognition.
Table of Contents
Chapter 1 Facial Expression Classification Based on Convolutional Neural Networks
Chapter 2 Sparsity Preserving Projection Based Constrained Graph Embedding and Its Application to Face Recognition
Chapter 3 Face Recognition Using Exponential Local Discriminant Embedding
Chapter 4 Adaptive Locality Preserving Projections for Face Recognition
Chapter 5 Face Recognition Using 3D Face Rectification
Chapter 6 3D Face Recognition
Chapter 7 Model-Less 3D Face Pose Estimation
Chapter 8 Efficient Deformable 3D Face Model Fitting to Monocular Images
Chapter 9 Face Detection Using the Theory of Evidence
Chapter 10 Fuzzy Discriminant Analysis: Considering the Fuzziness in Facial Age Feature Extraction
Chapter 11 Facial Image-Based Age Estimation
Table of Contents Title Page BENTHAM SCIENCE PUBLISHERS LTD. End User License Agreement (for non-institutional, personal use) Usage Rules: Disclaimer: Limitation of Liability: General: FOREWORD PREFACE Facial Expression Classification Based on Convolutional Neural Networks Abstract INTRODUCTION Convolutional Neural Networks Facial Expression Analysis GRADIENT-BASED LEARNING FOR CNNS FEATURE GENERALIZATION EXPERIMENTS Datasets CK-Regianini Dataset CK-Zheng Dataset CMU-Pittsburgh dataset Experiments on CNN-based Facial Expression Classification Design Results and Analysis Experiments on Feature Generalization Design Results and Analysis DISCUSSION CONFLICT OF INTEREST ACKNOWLEDGEMENTS References Sparsity Preserving Projection Based Constrained Graph Embedding and Its Application to Face Recognition Abstract INTRODUCTION RELATED WORK Locality Preserving Projection Neighborhood Preserving Embedding Sparsity Preserving Projection Constrained Graph Embedding SPP BASED CONSTRAINED GRAPH EMBEDDING SPP-CGE Out-of-Sample Extension EXPERIMENTAL RESULTS CONCLUSION NOTES CONFLICT OF INTEREST ACKNOWLEDGEMENTS References Face Recognition Using Exponential Local Discriminant Embedding Abstract INTRODUCTION Contribution and Related Work REVIEW OF LOCAL DISCRIMINANT EMBEDDING (LDE) Intrinsic Graph and Penalty Graph Optimal Mapping The Small Sample Size Problem EXPONENTIAL LDE Matrix Exponential Exponential LDE THEORETICAL ANALYSIS OF ELDE Solving the SSS Problem Distance Diffusion Mapping PERFORMANCE EVALUATION Face Databases Recognition Accuracy Comparison between Regularized LDE and ELDE CONCLUSION CONFLICT OF INTEREST ACKNOWLEDGMENTS References Adaptive Locality Preserving Projections for Face Recognition Abstract INTRODUCTION LOCALITY PRESERVING PROJECTIONS ENHANCED AND PARAMETERLESS LPP PERFORMANCE EVALUATION Face Databases Experimental Results Performance Comparison for OLPP and SLPP CONCLUSION CONFLICT OF INTEREST ACKNOWLEDGMENTS References Face Recognition Using 3D Face Rectification Abstract INTRODUCTION PROPOSED METHOD FACE DATABASE PREPROCESSING FACIAL FEATURE DETECTION POSE ESTIMATION IRAD Contours Ellipse Fitting And Roll Correction Yaw Correction Pitch Correction Accuracy Of The Pose Estimation Method ROTATION AND POST PROCESSING EXPERIMENTS CONCLUSION CONFLICT OF INTEREST ACKNOWLEDGMENTS References 3D Face Recognition Abstract INTRODUCTION 3D FACE ACQUISITION 3D FACE REPRESENTATION PREPROCESSING 3D FACE ALIGNMENT FACE RECOGNITION CONCLUDING REMARKS CONFLICT OF INTEREST ACKNOWLEDGEMENTS References Model-Less 3D Face Pose Estimation Abstract INTRODUCTION STATE OF THE ART THE MACHINE LEARNING METHODOLOGY Locality Preserving Projections LPP Algorithm Supervised Locality Preserving Projections LABEL-SENSITIVE LOCALITY PRESERVING PROJECTION Presetting: Algorithm: PROPOSED APPROACH: SPARSE GRAPH BASED LSLPP EXPERIMENTAL RESULTS CONCLUSION CONFLICT OF INTEREST ACKNOWLEDGEMENTS References Efficient Deformable 3D Face Model Fitting to Monocular Images Abstract INTRODUCTION LIGHTWEIGHT FACIAL FEATURE DETECTION DEFORMABLE MODEL BACKPROJECTION EXPERIMENTAL RESULTS AND DISCUSSION CONCLUSION APPENDIX A: MODIFICATIONS TO CANDIDE-3 CONFLICT OF INTEREST ACKNOWLEDGMENTS References Face Detection Using the Theory of Evidence Abstract INTRODUCTION STATE OF THE ART THEORY OF BELIEF FUNCTIONS Mass Sets Modeling of Mass Functions Combination of Beliefs Management of Conflict Combination Rules for Dependent Sources Decision with Transferable Belief Model APPLICATION TO EVIDENTIAL FACE MODEL Information Sources Mass Sets for VJ Face Detector Color Mass Functions Color Fusion by Cautious Rule Illustrative Example Global Fusion of Color and VJ Mass Sets by Conjunctive Rule Computation of Pignistic Probabilities PROBABILISTIC FACE TRACKING Estimation of Ellipse Center Estimation of Size and Pose Visual Servoing PERFORMANCE ANALYSIS Qualitative Evaluation Quantitative Evaluation DISCUSSION CONFLICT OF INTEREST ACKNOWLEDGEMENT References Fuzzy Discriminant Analysis: Considering the Fuzziness in Facial Age Feature Extraction Abstract INTRODUCTION CHARACTERIZATION OF THE FUZZINESS IN FACIAL AGING THE FUZZY DISCRIMINATIVE MANIFOLD ANALYSIS Traditional Discriminative Manifold Methods Fuzzy Discriminative Analysis for Age Estimation EXPERIMENTAL RESULTS A Toy Example Facial Age Estimation Results Databases Experimental Setting Experiments on the FGNET Database Experiments on the MORPH Database CONCLUSION CONFLICT OF INTEREST ACKNOWLEDGEMENTS References Facial Image-Based Age Estimation Abstract INTRODUCTION AGE ESTIMATION ALGORITHMS Input Images Preprocessing Feature Extraction Distance Metric Adjustments Dimensionality Reduction Age Determination AGE ESTIMATION FRAMEWORK AND EXPERIMENTS PERFORMED EXPERIMENTAL SETTING Datasets Performance Scores RESULTS CONCLUSION CONFLICT OF INTEREST ACKNOWLEDGEMENTS References
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