Note: Intro -- Eco-Materials Processing and Design XVII -- Preface, Committees, Sponsors -- Table of Contents -- Synthesis and Photoluminescence Properties of SrLaAlO4: Ti Green-Emitting Phosphor -- The Influence of Multi-Factor Aging on Partial Discharge Property for Epoxy/Mica Insulation of Generator Stator Bars -- Mechanical Recovery of Ni/Al2O3 Nanocomposites after Pre-Oxidations at High Temperatures -- Effect of Reinforcement on the Tribological Behavior of CuFe-Based Composites -- The Effect of the SiC Content on Electrical Properties of SiC Anti-Corona Coating for Generator -- Synthesis of TiO2-Modified Hydroxyapatite with Various Morphology by Urea-Assisted Hydrothermal Method -- Effect of Degassing Treatment on the Crystalline Morphology of XLPE Insulation Used for 110kV XLPE Cable -- Oxidation of Pentatitanium Trisilicide (Ti5Si3) Powder at High Temperature -- Energy Consumption in Batch-Mode Capacitive Deionization -- The Investigation of Electrical Properties for Mica/Epoxy Insulation Stator Bars during the Thermal Cycle Aging Test -- Tribological Behaviors of Dense Gelcasting Nanocomposites -- Dielectric Properties of Liquid Crystal Polymer Composites with High Thermal Conductivity -- Effect of Silica on the Wettability and Composition of the Alumina/Aluminum Interface -- Photoluminescence Properties of the Magnetoplumbite-Type BaMg6Ti6O19:Mn4+ and Spinel-Type Mg2TiO4:Mn4+ -- Cationic Distribution and Electrical Properties of Ni0.6Mn2Si0.4-xAlxO4 (0≤x≤0.04) NTC Thermistor -- Fabrication and Characterization of Barium Doped Ceria Nanopowders by a Solvothermal Processing -- Effects of Additives Content on the Properties of Porous SiC Ceramics -- Orientation Dependence of Flow Behavior of Mg Single Crystal. , Influence of Heater Diameter on the Temperature Distribution and Melt Convection in a Directional Solidification System for Mono-Like Silicon Growth -- Synthesis and Characterization of CoMn2O4 Nanopowders by a Reverse Micelle Processing -- Mechanical and Thermal Properties of Al2O3-Filled Epoxy Composites -- Keyword Index -- Author Index.

Note: Intro -- Preface -- Organization -- Contents -- Part II -- Contents -- Part I -- Image and Video Processing -- Saliency Region Detection via Graph Model and Statistical Learning -- 1 Introduction -- 2 Algorithm -- 2.1 Initial Saliency Map Generation -- 2.2 Foreground Enhancement via Absorbing Markov Chain -- 2.3 Saliency Map Construction by Bayes Estimation -- 3 Experiments and Results -- 3.1 Datasets and Metrics -- 3.2 Experiment and Results -- 4 Conclusion -- References -- An Efficient Gabor Feature-Based Multi-task Joint Support Vector Machines Framework for Hyperspectral Image Classification -- 1 Introduction -- 2 Related Work -- 2.1 Gabor Functions and Wavelets -- 2.2 Classical Support Vector Classification (C-SVC) -- 3 Gabor Feature-Based Multi-task Joint Support Vector Machines for Hyperspectral Classification -- 3.1 Gabor Features Extraction for Hyperspectral Image -- 3.2 Combine Probabilistic Outputs of SVM for Gabor Features -- 4 Experimental Results -- 4.1 Indian Pines Data Set -- 4.2 KSC Data Set -- 5 Conclusion -- References -- Single Image Haze Removal Based on Priori Image Geometry and Edge-Preserving Filtering -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Atmospheric Scatting Model -- 2.2 Priori Image Geometry and Edge-Preserving Filtering -- 3 The Proposed Algorithm -- 3.1 The Algorithm Flowchart -- 3.2 Atmospheric Light Estimation -- 3.3 Initial Transmission Map Estimation -- 3.4 Refined Transmission Map Estimation -- 3.5 Scene Radiance Recovery -- 4 Experimental Results -- 4.1 Qualitative Comparison -- 4.2 Quantitative Evaluation -- 5 Conclusion and Future Work -- Acknowledgements -- References -- Semantic Segmentation with Modified Deep Residual Networks -- 1 Introduction -- 2 Our Method -- 2.1 Network Architecture -- 2.2 SAR-Based Data Augmentation Method -- 2.3 Online Hard Pixels Mining -- 3 Experiments -- 3.1 Dataset. , 3.2 Implementation Details -- 3.3 Dilated Convolution -- 3.4 LSTM and Multi-scale Prediction -- 3.5 SAR-Based Data Augmentation Method -- 3.6 Online Hard Pixels Mining -- 3.7 Results of PASCAL VOC 2012 Dataset -- 4 Conclusions -- References -- A Quantum-Inspired Fuzzy Clustering for Solid Oxide Fuel Cell Anode Optical Microscope Images Segmentation -- Abstract -- 1 Introduction -- 2 Proposed Approach -- 3 Experimental Results -- 3.1 Experiments on Synthetic Images -- 3.2 Results on SOFC Porous Electrodes Images -- 4 Conclusions -- Acknowledgments -- References -- Document Image Super-Resolution Reconstruction Based on Clustering Learning and Kernel Regression -- 1 Introduction -- 2 Super-Resolution Reconstruction Model -- 3 Super-Resolution Reconstruction Implementation -- 3.1 Training -- 3.2 Super-Resolution Reconstruction -- 4 Experiment Result and Analysis -- 4.1 Reconstruction Experiment for Simulated Text Image -- 4.2 Reconstruction Experiment for Actual Text Image -- 5 Conclusion -- References -- Image Fusion and Super-Resolution with Convolutional Neural Network -- Abstract -- 1 Introduction -- 2 The Basic Algorithm -- 3 Wavelet Coefficients SR with Trained CNN -- 4 Experiment and Analysis -- 4.1 Multi-focus Image Fusion -- 4.2 Medical and VL and NIR Image Fusion -- 5 Conclusions -- Acknowledgments -- References -- Robust Segmentation for Video Captions with Complex Backgrounds -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Text Tracking -- 3.2 Single-Frame Text Segmentation -- 3.3 Multi-frame Integration -- 4 Experimental Results -- 4.1 Text Tracking -- 4.2 Single-Frame Text Segmentation -- 4.3 Multi-frame Integration -- 5 Conclusion -- References -- Single Low-Light Image Enhancement Using Luminance Map -- 1 Introduction -- 2 The Proposed Algorithm -- 2.1 Computing the Luminance Map. , 2.2 Estimating the Global Atmospheric Light -- 2.3 Estimating the Transmittance -- 2.4 Recovering the Inverted Scene Radiance -- 3 Experiment Results -- 3.1 Subjective Quality Comparison -- 3.2 Objective Quality Comparison -- 3.3 Running Speed Comparison -- 4 Conclusion -- References -- Image Copy Detection Based on Convolutional Neural Networks -- 1 Introduction -- 2 Related Work -- 2.1 Traditional Image Copy Detection -- 2.2 Research Progress of CNN -- 3 The Proposed Method -- 3.1 Overview -- 3.2 Network Architectures -- 4 Learning -- 5 Experiments -- 5.1 Dataset -- 5.2 Result -- 6 Conclusions -- References -- Perceptual Loss with Fully Convolutional for Image Residual Denoising -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Encoder-Decoder Architectures -- 3.2 Per-pixel Loss Functions -- 3.3 Perceptual Loss Functions -- 4 Experiments and Results -- 4.1 Analysis on Model Details -- 5 Conclusion and Outlook -- References -- Single Image Super Resolution Through Multi Extreme Learning Machine Regressor Fusion -- 1 Introduction -- 2 Related Work -- 2.1 Single Image Super Resolution Using Gradient Profile Prior -- 2.2 Extreme Learning Machine Regression -- 3 Proposed Super Resolution Method -- 3.1 Overview of Proposed Method -- 3.2 Estimation of HR Gradient and High Frequency -- 4 Experiments -- 4.1 Settings -- 4.2 Results -- 4.3 Complexity -- 5 Conclusion -- References -- Learning-Based Weighted Total Variation for Structure Preserving Texture Removal -- 1 Introduction -- 2 Related Work -- 3 Model and Algorithm -- 3.1 Learning-Based TV Model for Structure Extraction -- 3.2 Model Computation -- 3.3 Structural Contour Learning -- 4 Experiment -- 4.1 Parameter Setting -- 4.2 Structure Extraction Comparison -- 5 Conclusion -- References -- A Novel Texture Extraction Method for the Sedimentary Structures' Classification of Petroleum Imaging Logging. , Abstract -- 1 Introduction -- 2 Methods -- 2.1 Local Binary Pattern Based Directional Texture Feature Model -- 3 Experimental Results and Analysis -- 3.1 Experimental Evaluation Scale -- 3.2 Experimental Data Description -- 4 Conclusion and Future Work -- Acknowledgments -- References -- Rank Beauty -- Abstract -- 1 Introduction -- 2 Rank Beauty -- 2.1 Data and Crowdsourcing -- 2.2 Learning to Rank -- 3 Results -- 3.1 Measuring Accuracy -- 3.2 Facial Beauty Ranking -- 4 Conclusion -- Acknowledgments -- References -- Robust Optic Disc Detection Based on Multi-features and Two-Stage Decision Strategy -- Abstract -- 1 Introduction -- 2 Method -- 2.1 Finding Optic Disc Candidates -- 2.2 Distinguish Really OD Region Based on HOG Feature -- 3 Experiment Results -- 3.1 Dataset -- 3.2 The Robustness of the Proposed Methods -- 4 Conclusion -- References -- Hierarchical Saliency Detection Under Foggy Weather Fusing Spectral Residual and Phase Spectrum -- Abstract -- 1 Introduction -- 2 Transmission Estimation -- 2.1 Atmospheric Imaging Model -- 2.2 Transmission Estimation -- 3 Hierarchical Saliency Detection -- 3.1 Preliminary Spectral Residual Detection -- 3.2 Detailed Phase Spectrum Detection -- 3.3 Weighted Fusing and Region Localization -- 4 Experiment -- 5 Conclusion -- References -- Hierarchical Image Matching Method Based on Free-Form Linear Features -- Abstract -- 1 Introduction -- 2 Research Methods -- 2.1 Extraction of Free-Form Sub-pixel Linear Features -- 2.2 Extraction of the Features for Matching -- 2.3 Coarse Matching by Using Multiple Linear Features -- 2.4 Accurate Matching Based on Multi-level Two-Dimensional ICP -- 3 Experimental Results and Analysis -- 4 Conclusions -- References -- Improved Saliency Optimization Based on Superpixel-Wised Objectness and Boundary Connectivity -- 1 Introduction -- 2 Backgrounds -- 2.1 Objectness. , 2.2 Boundary Connectivity -- 3 Saliency Measurement Based on Modified Objectness and Boundary Connectivity -- 4 Improved Saliency Optimization -- 5 Experiments -- 5.1 Qualitative Evaluation -- 5.2 Quantitative Evaluation -- 5.3 Model Analysis -- 5.4 Run Time -- 6 Conclusion -- References -- A Dual-Based Adaptive Gradient Method for TV Image Denoising -- 1 Introduction -- 2 Dual Formulation -- 3 Motivation and Adaptive Gradient Method -- 3.1 Motivation -- 3.2 Global Convergence -- 4 Numerical Experiments -- 5 Conclusion -- References -- Image Inpainting Based on Sparse Representation with Dictionary Pre-clustering -- 1 Introduction -- 2 Sparse Representation -- 3 Inpainting Algorithm -- 3.1 The Creation of Dictionary -- 3.2 The Sparse Reconstruction of Image Patches -- 3.3 Inpainting Order -- 4 Experimental Results and Comparisons -- 5 Conclusion -- References -- Efficient Image Retrieval via Feature Fusion and Adaptive Weighting -- 1 Introduction -- 2 Related Work -- 3 Feature Fusion for Image Retrieval -- 3.1 Overview of Image Features -- 3.2 Feature Extraction and Processing -- 3.3 Multiple Features Fusion and Complementation -- 4 Adaptive Weights Allocation Algorithm -- 5 Experiments -- 5.1 Datasets and Evaluation -- 5.2 Experimental Parameters Settings -- 5.3 Experimental Results Analysis -- 6 Summary and Outlook -- References -- The Effect of Quantization Setting for Image Denoising Methods: An Empirical Study -- 1 Introduction -- 2 Motivation -- 3 Image Denoising Framework -- 4 Experimental Results -- 5 Conclusion -- References -- GPCA-SIFT: A New Local Feature Descriptor for Scene Image Classification -- 1 Introduction -- 2 PCA-SIFT -- 3 GPCA-SIFT -- 3.1 GPCA -- 3.2 GPCA-SIFT -- 4 Experiments -- 4.1 Dataset Used -- 4.2 Discussion -- 4.3 Evaluation of GPCA-SIFT -- 5 Conclusion -- References -- Speech and Language. , Low-Quality Character Recognition Based on Dictionary Learning and Sparse Representation.

Note: Intro -- Preface -- Organization -- Contents -- Part I -- Contents -- Part II -- Robotics -- Constrained Spectral Clustering on Face Annotation System -- 1 Introduction -- 2 Constrained Spectral Clustering -- 3 Constraints Generating -- 4 Experiments -- 4.1 Features -- 4.2 Datasets -- 4.3 Evaluation Methods -- 4.4 Experimental Results -- 4.5 Discussion -- 5 Conclusion -- References -- Axial-Decoupled Indoor Positioning Based on Location Fingerprints -- Abstract -- 1 Introduction -- 2 Problem Formulation -- 3 Axial-Decoupled Positioning -- 3.1 Offline Phase -- 3.2 Online Phase -- 3.3 Procedure of the Proposed Axial-Decoupled Method -- 3.4 Performance Analysis -- 4 Experiment and Discussion -- 4.1 Test Dataset and Model Parameter Selection -- 4.2 Results and Discussion -- 5 Conclusion and Future Work -- Acknowledgements -- References -- AdaUK-Means: An Ensemble Boosting Clustering Algorithm on Uncertain Objects -- 1 Introduction -- 2 Related Work -- 3 Preliminary Knowledge -- 4 Ensemble Clustering Model for Uncertain Data -- 4.1 Problem Definition -- 4.2 Ensemble Method -- 4.3 AdaUK-Means -- 5 Experimental Evaluation -- 5.1 Synthetic Data Sets -- 5.2 Real Data Sets -- 6 Conclusions -- References -- A Vehicle Trajectory Analysis Approach Based on the Rigid Constraints of Object in 3-D Space -- Abstract -- 1 Introduction -- 2 Camera Calibration -- 3 3-D Reconstruction of the 2-D Trajectories -- 4 Trajectory Clustering -- 5 Experimental Results and Conclusions -- Acknowledgement -- References -- Robust Features of Finger Regions Based Hand Gesture Recognition Using Kinect Sensor -- 1 Introduction -- 2 Finger-Only Based Hand Gesture Recognition System -- 2.1 Hand Detection -- 2.2 Hand Feature Extraction -- 2.3 Hand Gesture Recognition -- 3 Experiments -- 3.1 Database -- 3.2 Performance Evaluation -- 3.3 Parameter Sensitivity -- 4 Conclusions. , References -- Circular Object Detection in Polar Coordinates for 2D LIDAR Data -- 1 Introduction -- 2 Proposed Method -- 2.1 Data Acquisition and Segmentation -- 2.2 Feature Extraction and Circular Object Recognition -- 3 Experiments and Analysis -- 4 Conclusions -- References -- Intensity Estimation of the Real-World Facial Expression -- Abstract -- 1 Introduction -- 2 Preliminaries -- 2.1 Previous Works -- 2.2 Expression Databases -- 3 Feature Extraction -- 3.1 Feature Visualization -- 3.2 Dimensionality Reduction -- 4 Facial Intensity Estimation Framework -- 4.1 Three-Level Intensity Classification -- 4.2 Intensity Estimation of L2R Method -- 5 Experimental Results -- 5.1 Three-Level Intensity Results -- 5.2 L2R Results -- 6 Conclusion -- Acknowledgement -- References -- An Emotional Text-Driven 3D Visual Pronunciation System for Mandarin Chinese -- 1 Introduction -- 1.1 Related Works -- 1.2 Paper Contribution -- 2 Method -- 2.1 A HMM-Based Text-to-Articulatory Movement Prediction -- 2.2 3D Articulatory Animation -- 3 Experiments -- 3.1 Database -- 3.2 System Construction -- 3.3 Articulatory Movement Predicted from Text -- 3.4 The Emotional 3D Visual Pronunciation System -- 4 Conclusion -- References -- Interactive Banknotes Recognition for the Visual Impaired With Wearable Assistive Devices -- 1 Introduction -- 2 Related Work -- 3 System Overview -- 3.1 Hardware -- 4 Robust Interactive Banknotes Recognition -- 4.1 ORB Based Matching -- 4.2 Image to Class Based Approach -- 4.3 HCI Based Approach -- 5 Experimental and Analysis -- 5.1 Experimental Setup -- 5.2 Experimental Result -- 6 Future Work -- References -- Spontaneous Smile Recognition for Interest Detection -- 1 Introduction -- 2 Smile Recognition Using Conditional Random Forests -- 2.1 Head Pose Estimation -- 2.2 Smile Recognition -- 3 Experiments -- 4 Conclusions -- References. , Road Extraction Based on Direction Consistency Segmentation -- Abstract -- 1 Introduction -- 2 Road Extraction Based on Direction Consistency Segmentation -- 2.1 Geometric Features of Roads in Classified Images and the Corresponding Identification Methods -- 2.2 Main Direction Detection for Binary Images -- 2.3 Merging Pixels with Similar Directions Based on Region Growing -- 2.4 Identification of Road Items and the Further Processing -- 3 Experiments and Analysis -- 3.1 Experiment 1: Road Extraction from High-Resolution Images -- 3.2 Experiment 2: Road Extraction from Low Resolution Images -- 3.3 Analysis on Experimental Results -- 4 Conclusions -- References -- Fingertip in the Eye: An Attention-Based Method for Real-Time Hand Tracking and Fingertip Detection in Egocentric Videos -- 1 Introduction -- 2 Dataset: Ego-Finger -- 3 Hand Tracking and Fingertip Detection -- 3.1 Attention-Based Hand Tracker: AHT -- 3.2 Multi-points Fingertip Detector: MFD -- 4 Experiments and Discussions -- 4.1 Data Preparation -- 4.2 Hand Tracking Performance -- 4.3 Fingertip Detection Performance -- 5 Conclusion -- References -- Multiple-Classifiers Based Hand Gesture Recognition -- Abstract -- 1 Introduction -- 1.1 Motivation -- 1.2 Related Work -- 2 Multiple-Classifiers Based Hand Gesture Recognition -- 2.1 Hand Tracking and Segmentation -- 2.2 Hand Patch Rotation -- 2.3 Gesture Recognition -- 3 Experiments -- 3.1 Training -- 3.2 Experiment Result -- 4 Conclusion -- References -- Recognition of Social Touch Gestures Using 3D Convolutional Neural Networks -- Abstract -- 1 Introduction -- 2 GM-LSTM -- 3 LRCN -- 4 3D CNNs -- 5 Experiments and Results -- 5.1 GM-LSTM and LRCN Experiments -- 5.2 3D CNN Experiments -- 5.2.1 Experiments on the Number of Feature Maps -- 5.2.2 Experiments on the Number of Fully Connected Layers -- 5.2.3 Experiments on the Dropout. , 5.3 Overall Comparison -- 6 Discussion -- 7 Conclusion -- References -- Object Property Identification Using Uncertain Robot Manipulator -- 1 Introduction -- 2 Robot Kinematics, Dynamics and Controller -- 2.1 Kinematics and Dynamics -- 2.2 Reference Model -- 3 Robotic Learning Control -- 4 Reference Model Adaptation -- 5 Learning the Object Properties -- 6 Simulation Studies -- 7 Conclusion -- References -- Computer Vision -- Pose-Invariant Face Recognition Based on a Flexible Camera Calibration -- 1 Introduction -- 2 Facial Pose Normalization -- 2.1 Intrinsic Parameter Unit by 2D Alignment -- 2.2 Flexible Extrinsic Camera Calibration -- 2.3 3D Alignment and Face Recognition -- 3 Experiments -- 3.1 Database -- 3.2 2D Alignment and 3D Alignment -- 3.3 Performance Analysis -- 4 Conclusion and Future Work -- References -- Pedestrian Detection Aided by Deep Learning Attributes Task -- 1 Introduction -- 2 Similarity Attributes -- 2.1 A Brief Introduction of Binary Code and Our Similarity Attributes -- 2.2 Initialize the Parameters -- 2.3 Deep Network for Learning Similarity Attributes -- 3 Deformation and Edge Attributes -- 4 Parallel Deep Network -- 4.1 Decision System -- 5 Experiments -- 5.1 Results of the Caltech-Test Dataset -- 5.2 Results of the ETH Dataset -- 6 Conclusion -- References -- Crowd Collectiveness Measure via Path Integral Descriptor -- Abstract -- 1 Introduction -- 2 Path Integral Descriptor -- 2.1 Neighborhood Graph -- 2.2 Path Integral and Collectiveness via Exponent Generating Function -- 2.2.1 Path Integral -- 2.2.2 Generating Function Regularization -- 2.2.3 Path Integral Descriptor -- 3 Collectiveness -- 3.1 Neighborhood Graph -- 3.2 Numerical Analysis -- 3.3 Crowd Collectiveness -- 4 Conclusion -- References -- Robust Face Frontalization in Unconstrained Images -- Abstract -- 1 Introduction -- 2 Frontalization Method. , 2.1 Frontal Facing Synthesis -- 2.2 Visibility Estimation -- 2.3 Occlusion Detection -- 2.4 Occlusion Region Filling -- 3 Experiments -- 3.1 Face Verification -- 3.2 Gender Estimation -- 3.3 Face Verification with Occlusion -- 4 Conclusion -- Acknowledgment -- References -- Research on the Stability of Plantar Pressure Under Normal Walking Condition -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Stability Analysis Based on the Analysis of the Variance of Plantar Pressure Characteristics -- 4 Experiment and Analysis -- 4.1 The Establishment of Gait Database -- 4.1.1 Laboratory Equipment -- 4.1.2 Data Acquisition -- 4.2 Pretreatment of Plantar Pressure Data -- 4.3 Operating Results of the Analysis of Variance of the Plantar Pressure Feature Point -- 5 Conclusion -- References -- Convolutional Neural Networks with Neural Cascade Classifier for Pedestrian Detection -- 1 Introduction -- 2 Related Work -- 3 Models -- 3.1 Datasets -- 3.2 Architecture -- 3.3 Aspect Ratio and Scale -- 3.4 Optimization -- 4 Experiments -- 5 Conclusion -- References -- Adaptive Multi-Metric Fusion for Person Re-identification -- 1 Introduction -- 2 Notations and Problem Statement -- 3 Methodology -- 3.1 Mapping Rank to Relevance Score -- 3.2 Adaptive Weighting Fusion -- 4 Experiments -- 4.1 Experiments on VIPeR Dataset -- 4.2 Experiments on ETHZ Dataset -- 5 Conclusion -- References -- Face Detection Using Hierarchical Fully Convolutional Networks -- 1 Introduction -- 2 Related Work -- 3 Approach -- 4 Implementation Details -- 4.1 Scales and Aspect Ratios for Default Boxes -- 4.2 Loss Function -- 4.3 Data Augmentation -- 5 Experiment -- 5.1 Experiment Setup -- 5.2 Experiment Results in AFW -- 5.3 Experiment Results on FDDB -- 5.4 Discussion -- 6 Conclusion -- References -- Depth Supporting Semantic Segmentation via Deep Neural Markov Random Field -- 1 Introduction. , 2 Our Approach.