Biometric Recognition

Name: Biometric Recognition | 10th Chinese Conference, CCBR 2015, Tianjin, China, November 13-15, 2015, Proceedings
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10th Chinese Conference, CCBR 2015, Tianjin, China, November 13-15, 2015, Proceedings

Jinfeng Yang Jucheng Yang Zhenan Sun Shiguang Shan Weishi Zheng Jianjiang Feng(Herausgeber*in)

Springer (Verlag)

Erschienen am 23. Oktober 2015

XVIII, 739 Seiten

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Inhalt

Intro
Preface
Organization
Contents
Face
Adaptive Quotient Image with 3D Generic Elastic Models for Pose and Illumination Invariant Face Recognition
1 Introduction
2 Adaptive Quotient Image
2.1 Quotient Image
2.2 Adaptive Quotient Image
3 3D Face Reconstruction by GEM
4 Face Recognition via Pose-Specific Metric
4.1 Pose Estimation and Alignment
4.2 Recognition via Pose-Specific Metric
5 Experiments and Results
5.1 Results
6 Conclusion
References
Low Rank Analysis of Eye Image Sequence - A Novel Basis for Face Liveness Detection
1 Introduction
2 Motivations
3 Proposed Method
3.1 Sample Noising Model
3.2 Solutions of the Noising Model
3.3 Basis for Classification
3.4 The Proposed Algorithm
4 Experiments
5 Conclusion
References
Non-negative Compatible Kernel Construction for Face Recognition
1 Introduction
2 Nonnegative Compatible Kernel Construction
2.1 Symmetric NMF
2.2 Nonnegative Interpolatory Basis Function Construction
2.3 Nonnegative Compatible Kernel Construction
3 Experimental Results
3.1 Experiments on ORL Database
3.2 Experiments on Pain Expression Database
4 Conclusions
References
3D Face Recognition Using Local Features Matching on Sphere Depth Representation
1 Introduction
1.1 Related Work
1.2 Motivation and Approach Overview
2 Generation of Sphere Depth Image
3 Local Feature Extraction on Sphere Depth Image
3.1 Problem in Keypoints Selection
3.2 Ranking Keypoints in Keypoints Selection
4 Experiment Analysis
4.1 Experiment on Ran nking Model
4.2 Experiment on Pose Change 3D Faces Images
5 Conclusion
References
Face Recognition Using Local PCA Filters
1 Introduction
2 Method
2.1 Filter Learning
2.2 Feature Coding
3 Experiment
3.1 Experiment on Feret Database
3.2 Experiment on LFW Database
4 Conclusion
References
Block Statistical Features-based Face Verification on Second Generation Identity Card
1 Introduction
2 Face Representation Based on LGBP
3 The Proposed Algorithm
3.1 Face Presentation Based on BSF
3.2 Energy Check on Gabor Filter
3.3 Face Verification Based on BSF
4 Experiments
4.1 Experimental Settings
4.2 Experiment with NEU-ID Database
5 Conclusion and Discussion
References
Towards Practical Face Recognition: A Local Binary Pattern Non Frontal Faces Filtering Approach
1 Introduction
2 Overall Design Framework
2.1 Face Detection
2.2 LBP Feature Extraction
3 Experiment
3.1 Establish Facial Pose Database
3.2 Experimental Procedure and Results
4 Summary and Prospect
References
Metric Learning Based False Positives Filtering for Face Detection
1 Introduction
2 Related Work
3 Proposed Approach
4 Experiments
4.1 Implementation Details
4.2 Experiments on Our Wild Dataset
4.3 Experiments on FDDB
5 Conclusion
References
Face Recognition via Compact Fisher Vector
1 Introduction
2 Fisher Vector and Related Encoding Strategies
2.1 Fisher Kernel and Fisher Vector
2.2 Fisher Vector Normalization
2.3 Integrating Spatial Information
2.4 VLAD and Intra-Normalization
3 Compact Fisher Vector Representation
3.1 Sparsifying Fisher Vector
3.2 Fisher Vector with First Order Statistically Only
3.3 Residual Normalization
3.4 Tweaking Fisher Vector Representation
3.5 Normalization
4 Experiments
4.1 FERET
4.2 Labeled Faces in the Wild (LFW)
5 Conclusion
References
Nonlinear Metric Learning with Deep Convolutional Neural Network for Face Verification
1 Introduction
2 Related Work
2.1 Similarity Distance Metric Learning
2.2 Deep Learning and Convolutional Neural Network
3 Proposed Method
3.1 Nonlinear Metric Learning with Deep ConvNet
3.2 Discrimination Similarity Distance Metric with Deep ConvNets
3.3 Implementation Details
4 Preliminary Experiment
4.1 Datasets and Experimental Settings
4.2 Comparison with Existing Deep Metric Learning Methods
4.3 Comparison with State-of-the-Art Methods
5 Conclusion
References
Locally Collaborative Representation in SimilarSubspace for Face Recognition
1 Introduction
2 Sparse Representation and Collaborative Representation
2.1 Sparse Representation Based Classification (SRC)
2.2 Collaborative Representation Based Classification (CRC)
3 Locally Collaborative Representation Based Classification
4 Experimental Results
5 Conclusion and Discussion
References
A DCNN and SDM Based Face Alignment Algorithm
1 Introduction
2 Coarsely Localize 5 Landmarks Based on DCNN
3 Finely Localize 68 Landmarks Based on SDM
3.1 Initialization
3.2 Finetune Landmarks
4 Experiments and Analysis
5 Conclusion
References
Robust Face Detection Based on Enhanced Local Sensitive Support Vector Machine
1 Introduction
2 Background: LSSVM
2.1 Discussion
3 Proposed Method
3.1 The Adaboost Based Background Filter
3.2 Locality-Sensitive SVM Using Kernel Combination
4 Experiments
4.1 Evaluation on CMU+MIT Dataset
4.2 Evaluation on FDDB Dataset
5 Conclusions
References
An Efficient Non-negative Matrix Factorization with Its Application to Face Recognition
1 Introduction
2 Traditional NMF
3 The Proposed NMF
4 Experimental Results
4.1 Comparisons on Convergence
4.2 Comparisons on Performance
5 Conclusions
References
Patch-based Sparse Dictionary Representation for Face Recognition with Single Sample per Person
1 Introduction
2 Related Work
3 Our Proposed Method
4 Classification
5 Experiment
6 Conclusion
References
Non-negative Sparsity Preserving Projections Algorithm Based Face Recognition
1 Introduction
2 Algorithm Overview
2.1 Locality Preserving Projections
2.2 Non-negative Sparsity Preserving Projections
3 Experiments
3.1 Experiments on RL OR Face Database
3.2 Experiments on FERET Face Database
3.3 Experimental Analysis
4 Conclusions
References
WLD-TOP Based Algorithm against Face Spoofing Attacks
1 Introduction
2 Related Work
3 WLD from Three Orthogonal Planes (WLD-TOP) for Image Representation
3.1 Modified WLD
3.2 WLD-TOP
4 Experiments
4.1 Data Set
4.2 Results on the Intra-database
4.3 Results on the Cross-Database
4.4 Effectiveness of Each WLD-TOP Plane
5 Conclusion
References
Heterogeneous Face Recognition Based on Super Resolution Reconstruction by Adaptive Multi-dictionary Learning
1 Introduction
2 Sketch-to-Photo Transformation
3 Super-Resolution of Synthesized Photos
3.1 Super Resolution Reconstruction Based on Sparse Representation
3.2 Adaptive Multi-dictionary Learning
3.3 Training Samples Clustering
3.4 Multi-dictionary Learning
3.5 Super Resolution Reconstruction Model
4 Face Recognition Based on 2DMFA
4.1 Marginal Fisher Analysis
4.2 Two-Dimensional Marginal Fisher Analysis
5 Experiments
6 Conclusion
References
3D Face Recognition Fusing Spherical Depth Map and Spherical Texture Map
1 Introduction
2 Pure Face Extraction
3 Recognition Process
3.1 Spherical Depth Map and Spherical Texture Map
3.2 Sparse Representation
4 Experiments
4.1 Database
4.2 Recognition
5 Conclusion
References
Privacy Preserving Face Identification in the Cloud through Sparse Representation
1 Introduction
2 Background
2.1 Cryptography Primitives
2.2 SCiFI Overview
3 Privacy Preserving Face Identification
3.1 Modified Sparse Representation Based Face Identification
3.2 Private Face Identification Protocol
4 Experimental Results
5 Conclusion and Discussion
References
Infrared Face Recognition Based on ODP of Local Binary Patterns
1 Introduction
2 Discriminative Patterns Based on Local Binary Patterns
3 Optimized Discriminative Patterns (ODP) of LBP
4 The Multi-classifier Based on Voting Mechanism
5 Experiment Results
6 Conclusions
References
Image Classification Based on Discriminative Dictionary Pair Learning
1 Introduction
2 Discriminative Dictionary Pair Learning
3 Optimization
4 Classification Scheme
5 Experiments
5.1 Face Recognition
5.2 Handwritten Digit Recognition
6 Conclusion
References
Weber Local Gradient Pattern (WLGP) Method for Face Recognition
Introduction
2 Proposed Method
2.1 Weber Local Descriptor
2.2 Proposed WLGD
3 Experimental Results
3.1 Experiments on ORL Database
3.2 Experiments on Infrared Face Database
4 Conclusion
References
Multi-task Attribute Joint Feature Learning
1 Introduction
2 Related Work
3 Proposed Method
4 Experimental Protocol and Results Analysis
4.1 Experiment Results and Discussion
4.2 Experiment Results and Discussion
5 Conclusion
References
Person-specific Face Spoofing Detection for Replay Attack Based on Gaze Estimation
1 Introduction
2 Proposed Face Spoofing Detection Method
2.1 Gaze Estimation
Gaze Feature Extraction.
Adaptive Linear Regression with Incremental Learning.
2.2 Liveness Judgement
3 Experiments
3.1 Database
3.2 Experimental Results
Effectiveness of Incremental Learning.
Effectiveness of Proposed Face Spoofing Detection Method.
Effectiveness of Euclidean Distance Based Fake Score.
4 Conclusion and Future Work
References
Fingerprint and Palmprint
Palmprint Feature Extraction Method Based on Rotation-invariance
1 Introduction
2 Feature Extraction
2.1 Rotation-Invariant
2.2 HOG
2.3 Dominant Direction
3 Palmprint Recognition
4 Experimental Results
5 Conclusion
References
CPGF: Core Point Detection from Global Feature for Fingerprint
1 Introduction
2 Related Work
3 Statistical Analy ysis on Fingerprint Orientation
4 Core Point Dete ection
4.1 Angle Interval Sele ection
4.2 Reference Line Fitt ting
4.3 Core Point Detection
5 Experiments
5.1 Database and Evaluation Standard
5.2 The Evaluation of C CPGF
6 Conclusion
References
Fingerprint Liveness Detection Based on Pore Analysis
1 Introduction
2 Proposed Method
2.1 Pore Detection
2.2 Features n Extraction
3 Experiments
4 Conclusions
References
A DCNN Based Fingerprint Liveness Detection Algorithm with Voting Strategy
1 Introduction
2 The Proposed Method
2.1 Training Data Preparation
2.2 DCNN Architecture
2.3 Voting Strategy
3 Experiments
3.1 Liveness Detection Challenge
3.2 Parameter Setting
3.3 Result Comparisons
4 Conclusion and Future Work
References
Slap Fingerprint Recognition for HD Mobile Phones
1 Introduction
2 Statistical Histogram Based Slap Fingerprint Segmentation
2.1 Minutiae Set Segmentation
2.2 Minutiae Selection
3 Slap Fingerprint Matching Based on RST-IFD
3.1 Sextant Nearest Minutiae Structure (SNMS)
3.2 Corresponding Minutiae Pairs (CMP)
3.3 Validation of CMP
3.4 Similarity Calculation
4 Experimental Results
4.1 Evaluation Data
4.2 Evaluation
5 Conclusion
References
A Palmprint Recognition Algorithm Based on GIDBC
1 Introduction
2 Box Dimension Method
2.1 Differential Box Counting
2.2 Improved Differential Box Counting, IDBC
3 Palmprint Recognition Algorithm Based on GIDBC
4 Experimental Results and Analysis
4.1 Database
4.2 Comparison and Analysis
5 Conclusion
References
Structural Feature Measurement Using Fast VO Model for Blurred Palmprint Recognition
1 Introduction
2 Stable Features in Image Blur Process
2.1 Fast VO Model Based on the Split Bergman Algorithm
2.2 Results of Image Decomposition
3 Blurred Palmprint Recognition Based on SR-SF Algorithm
3.1 Image Down-Sampling Based on Structure Ratio
3.2 Feature Matching for Blurring Palmprint Image
4 Experiment Results and Analysis
4.1 Experiment 1
4.2 Experiment 2
5 Conclusions
References
Palmprint Liveness Detection by Combining Binarized Statistical Image Features and Image Quality Assessment
1 Introduction
2 Methodology
2.1 Binarized Statistical Image Features (BSIF) Extraction
2.2 Image Quality Asse essment
3 Experiments
3.1 The Palmprint Database
3.2 Experimental Result
4 Conclusions
References
Vein Biometrics
Study of Heterogeneous Dorsal Hand Vein Recognition Based on Multi-device
1 Introduction
2 Heterogeneous Dorsal Hand Vein Image
2.1 Multi-device Heterogeneous Dorsal Hand Vein Image Database
2.2 The Evaluation of Multi-device Heterogeneous Dorsal Hand Vein Image
3 The Image Quality Parameters Optimization and Adjustment
3.1 Image Rotation
3.2 Extraction of Effective ROI
3.3 Position Shift
3.4 Contrast
3.5 Sharpness
4 Experimental Results and Analysis
4.1 Relationship between the Size of Image ROI and Rate
4.2 Relationship between Single Parameter Optimization and Rate
4.3 Relationship between Multi-parameter Optimization and Rate
5 Conclusion
References
Finger Vein Recognition Based on Local Opposite Directional Pattern
1 Introduction
2 Related Theory
2.1 LGP
2.2 LDP
2.3 LTP
3 Proposed Metho od
4 Experiments
4.1 Experimental Data abase
4.2 Determine the Best Block Manner
4.3 Compares with Different Algorithms
5 Conclusion
References
Finger Vein Recognition Based on Cycle Gradient Operator
1 Introduction
2 Related Theory
2.1 Local Gradient Pattern
3 Proposed Method
3.1 The Finger Vein Recognition System
3.2 Cycle Gradient Operator
4 Experiment and Analysis
4.1 Database
4.2 Determine the t Best Block Manner
4.3 Processing Time of f Different Algorithms
4.4 Recognition Rate o of Different Algorithms
5 Conclusion
References
Hand-dorsa Vein Recognition Based on Improved Partition Local Binary Patterns
1 Introduction
2 Vein Image Acquisition
3 Partition Local Binary Patterns (PLBP)
4 Improved Partition Local Binary Patterns
4.1 Weighted Partition Local Binary Patterns (WPLBP)
4.2 Multi-scale Partition Local Binary Patterns (MPLBP)
5 Experiments and Results
5.1 PLBP
5.2 Improved PLBP
6 Conclusions
References
Research on Finger Vein Recognition Based on NSST
1 Introduction
2 NSST Feature Extraction
2.1 The NSST Coefficients Energy Distribution Characteristic of Finger Vein Image
2.2 The Anti-aliasing in Frequency Domain of NSST Coefficients
3 Improved Robu ust Regression Classifying Method Based on MM Estimation n
4 The Sample Database Expansion Based on ROI Extraction
5 The Matching Scheme Based on Sample Database Expansion
6 Experiments
7 Conclusion
References
A New Finger-Vein Recognition Method Based on Hyperspherical Granular Computing
1 Introduction
2 Finger-Vein Image Acquisition
3 The Proposed Method
3.1 Image Enhancement and PCA
3.2 Granulation
3.3 Recognition
4 Experiments and Analysis
5 Conclusion and Future Work
Reference
Iris and Ocular Biometrics
An Iris Recognition Method Based on Annule-energy Feature
1 Introduction
2 Iris Texture Segmentation
3 Annulus-Energy Feature Extraction
3.1 2D-Gabor Filter
3.2 Feature Extraction and Encoding
4 The Classification Based on SVM Model
5 The Experimental Results and Analysis
6 Conclusion
References
An Efficient Iris Recognition Method Based on Restricted Boltzmann Machine
1 Introduction
2 Iris Feature Extraction
2.1 2D-Gabor Filter
2.2 Energy-Orientation Encoding
3 Training of Restricted Boltzmann Machine
3.1 Restricted Boltzmann Machines
3.2 Learning Restricted Boltzmann Machines
4 Experimental Results
5 Conclusion
References
Iris Cracks Detection Method Based on Minimum Local Gray Value and Dilating Window of Regional Mean Gray Value
1 Introduction
2 Iris Crack Detection Method
2.1 The Iris Crack Texture Feature Analysis
2.2 The Iris Image Preprocess
2.3 The Method Based on Minimum Local Gray Value
2.4 The Dilating Windo ow Based on Regional Mean Gray Level
3 Experimental Pr rocess and Results
3.1 Algorithmic Flow
4 Experimental Comparison and Discussion
4.1 Experimental Comparison
5 Conclusion
References
Extraction of Texture Primitive of the Iris Intestinal Loop
1 Introduction
2 Image Preproce essing
3 The Outer Boundary of Intestinal Loop's Extraction
3.1 Extraction Principal
3.2 Extraction Process
3.3 Extraction Step
4 Experiments Results and Discussion
4.1 Extraction Based on Primitive's Pattern Statistics
4.2 The Comparison of Results of Extraction
5 Conclusion
References
Texture Enhancement of Iris Images Acquired under Natural Light
1 Introduction
2 Iris Texture Enhancement Method
2.1 Luminance Enhancement
2.2 Contrast Enhancement
3 Experiments and Performance Evaluation
3.1 Block Size and Gaussian Parameter Selection
3.2 Image Quality Evaluation
3.3 Recognition Result Evaluation
4 Conclusion
References
Behavioral Biometrics
Facial Expression Recognition Based on Multiple Base Shapes
1 Introduction
2 Generalized Framework of Facial Expression Recognition Based on Multiple Base Shapes
2.1 AAM Derived Representations
2.2 Hybrid Feature
2.3 Classification Based on Multiple Base Shapes
3 Experiments
3.1 Databases
3.2 Experimental Results
4 Conclusion
References
A Novel Speech Emotion Recognition Method via Transfer PCA and Sparse Coding
1 Introduction
2 Transfer Dimension Reduction
3 Sparse Coding for Speech Emotion Recognition
4 Experiments
4.1 Experimental Setup
4.2 Experimental Results
5 Conclusions and Discussions
References
Sparse Facial Expression Recognition Algorithm Based on Integrated Gabor Feature
1 Introduction
2 Image Preprocessing
3 Facial Expression Feature Extraction
3.1 Gabor Feature Extraction
3.2 Gabor Feature Integration
3.3 Feature Selection
4 Facial Expression Recognition
5 Experimental Results
6 Conclusions
References
Robust Gait Recognition Based on Collaborative Representation with External Variant Dictionary
1 Introduction
2 External Variant Dictionary
2.1 Problem
2.2 Proposed External Variant Dictionary
2.3 Construction of External Variant Dictionary
3 CRC with External Variant Dictionary
3.1 Sparse Representation and Collaboration Representation
3.2 Algorithmic Process
4 Experimental Results
4.1 Probe Gaits Under Carrying Bag Condition
4.2 Probe Gaits Under Wearing Coat Condition
4.3 Computational Burden Analysis
5 Conclusion
References
Facial Expression Recognition Based on Gabor Feature and SRC
1 Introduction
2 Preprocessing
3 Gabor Feature
4 Feature Selection
4.1 Feature Selection Based on Sampling Point
4.2 PCA Feature Extracting
5 The SRC Algorithm
6 Experiment
7 Conclusion
References
Feature Fusion of Gradient Direction and LBP for Facial Expression Recognition
1 Introduction
2 Preprocessing Procedure
3 Feature Extraction
3.1 Local Binary Pattern (LBP)
3.2 Gradient Direction (GD) Operator
3.3 Features Fusion
4 Experimental Results
5 Conclusion
References
A Mahalanobis Distance Scoring with KISS Metric Learning Algorithm for Speaker Recognition
1 Introduction
2 The I-Vector Model
2.1 I-Vector Feature Extraction
2.2 Inter-Session Compensation
2.3 Cosine Similarity Scoring without Score Normalization
3 The Mahalanobis Distance Scoring Model
3.1 Whitening and Length-Normalization
3.2 KISS Metric Learning [9]
3.3 Mahalanobis Distance Scoring
4 Experiment
4.1 Set-Up
4.2 Results
5 Conclusions
References
Automatic Facial Expression Analysis of Students in Teaching Environments
1 Introduction
2 Related Work
3 Students' Spontaneous Expressions Database
4 System Overview
5 Facial Expression Recognition
6 Experimental Results
7 Conclusion and Discussion
References
Modified Marginal Fisher Analysis for Gait Image Dimensionality Reduction and Classification
1 Introduction
2 Marginal Fisher Analysis (MFA)
3 Modified Marginal Fisher Analysis
4 Experimental Results and Discussions
5 Conclusions
References
Gait Recognition Based on Energy Accumulation Images
1 Introduction
2 Gait Image Preprocess
3 Gait Energy Accumulation Images
3.1 Gait Energy Image (GEI)
3.2 Average Gait Differential Image (AGDI)
3.3 Change Energy Images (CIE)
3.4 Active Energy Image (AEI)
4 Orthogonal Locally Discriminant Projection (OLDP)
5 Experimental Results and Discussions
6 Conclusions
References
Speaker Verification Based on TES-PCA Classifier and SVM plus FCM Clustering
1 Introduction
2 Feature Extraction
2.1 Dimension Reduction
2.2 Data Selection
3 Speaker Verification Based on TES-PCA Classifier and SVM Plus FCM
3.1 TES-PCA Classifier for Coarse Decision
3.2 Support Vector Machine for Final Decision
4 Experiments
4.1 Experimental Database
4.2 Experiment Results and Discussion
5 Conclusions
References
Preliminary Study on Self-contained UBM Construction for Speaker Recognition
1 Introduction
2 Motivation
3 Experiments
4 The Ternary UBM Speaker Set
5 UBM Speaker Triangle
6 Conclusions
References
The Comparison of Denoising Methods Based on Air-ground Speech of Civil Aviation
1 Introduction
2 Principle of Algorithm
2.1 Improved Spectrum Subtraction
2.2 Wiener Filter
2.3 MMSE Algorithm
2.4 Masking Model Combined with Spectral Subtraction
3 Experiments and Analysis
4 Conclusion and Future Work
References
Application and System of Biometrics
The K-F Ring Detection Method Based on Image Analysis
1 Introduction
2 Image Acquisition and Preprocessing
2.1 Image Acquisition
2.2 Iris Preprocessing
3 The K-F Ring Detection Method
3.1 Image Representation and Boundary Analysis
3.2 The Integral Optimal of Gradient Algorithm
3.3 Quantization and Algorithm Evaluation
4 Experiment Results and Analysis
5 Conclusions
References
A Panoramic Video System Based on Exposure Adjustment and Non-linear Fusion
1 Introduction
2 The Proposed Panoramic System
2.1 Image Preprocessing Based on Exposure Adjustment
2.2 Image Registration
2.3 Robust Homography Estimation Using RANSAC
2.4 A Non-linear Algorithm for Image Fusion
3 The Image Stitching Method in Real-Time
4 The Results and Conclusion
References
Edge Multidirectional Binary Pattern Applies to High Resolution Thermal Infrared Face Database
Introduction
2 High Resolution Thermal Infrared Face Database
2.1 Thermal Infrared Face Image Acquisition Equipment
2.2 Establishment of Database
3 Edge Multidirectional Binary Pattern (EMDBP)
4 Experiments
5 Conclusions
References
A Multi-model Biometric Image Acquisition System
1 Introduction
2 The Evolution of Iris Image Acquisition Systems
3 Current Products for Iris Image Acquisition
3.1 Typical Commercial Iris Imaging Systems
3.2 Major Difficulties to Tackle for Improving Iris Imaging Systems
4 The Multi-Mode Image Acquisition (MMIA) System
4.1 The Structure of the MMIA System
4.2 The Working Process of MMIA
4.3 Design of the Optical Unit
5 Experiments and Results
5.1 Image Quality
5.2 System Performance
6 Conclusion
References
Multi-biometrics and Information Fusion
Significance of Being Unique from Finger Patterns: Exploring Hybrid Near-infrared Finger Vein and Finger Dorsal Patterns in Verifying Human Identities
1 Introduction
2 Database Description
3 Database Acquisition Process
3.1 Image Acquisition Device
3.2 Region of Interest Extraction
4 Experiments and Results
5 Conclusion and Further Work
References
Parallel Nonlinear Discriminant Feature Extraction for Face and Handwritten Digit Recognition
1 Introduction
1.1 Motivation
1.2 Contributions
2 Parallel Nonlinear Discriminant Subspace Learning Framework
2.1 Random Non-overlapping Equal Data Division Based on Classes
2.2 Communication-Free Parallel Nonlinear Feature Extraction
2.3 Nonlinear Discriminant Subspace Selection
2.4 Parallel Nonlinear Discriminant Analysis (PNDA) Approach
3 Time Complexity Analysis
4 Experiments
4.1 Database Introduction and Experimental Setting
4.2 Evaluation of Recognition Performance
5 Conclusions
References
A Novel Feature Fusion Scheme for Human Recognition at a Distance
1 Introduction
2 Kernel Coupled Mapping for Feature Fusion
2.1 Problem Statement
2.2 Optimization Solution
2.3 Feature Fusion in the Kernel Coupled Space
2.4 Computational Complexity Analysis
3 Experimental Results
3.1 Simulated Data
Gait Database.
Face Database.
3.2 Compared Algorithms
3.3 Results
4 Conclusion
References
Multimodal Finger-feature Fusion and Recognition Based on Tolerance Granular Space
1 Introduction
2 Multimodal Finger Feature Granulation and Recognition
2.1 Original Object Set System Construction
2.2 Feature Fusion and Granulation
2.3 Recognition
3 Experiments and Analysis
4 Conclusion and Future Work
References
A Finger-based Recognition Method with Insensitivity to Pose Invariance
1 Introduction
2 The Proposed Method
2.1 Multimodal Finger Image Acquisition
2.2 GOM Feature Extraction
2.3 Feature Granulation
2.4 Feature Granule Intension Description
3 Experiments and Analysis
3.1 GOLGF Poses Reliability Analysis
3.2 GOLGF Parameter Selection
3.3 Recognition Results
4 Conclusion
References
Fusion of Face and Iris Biometrics on Mobile Devices Using Near-infrared Images
1 Introduction
2 Technical Details
2.1 The NIR Iris Imaging Module
2.2 Image Preprocessing
2.3 Face Feature Analysis
2.4 Iris Feature Analysis
2.5 Score Level Fusion by the Sum Rule
3 Experimental Results
3.1 CASIA-Mobile Database
3.2 Face Recognition
3.3 Iris Recognition
3.4 Score Level Fusion
4 Conclusions
References
Other Biometric Recognition and Processing
Boosting-Like Deep Convolutional Network for Pedestrian Detection
1 Introduction
2 Pedestrian Detection Framework
2.1 Input Channel Features
2.2 CNN Structure
3 Boosting-Like Deep Learning
4 Experiment
4.1 Illustration of Stability
4.2 Results
5 Conclusion
References
Human Behavior Recognition Based on Velocity Distribution and Temporal Information
1 Introduction
2 Temporal Templates
2.1 Motion History Image
2.2 Motion Energy Image
3 Clustering Result Estimation
3.1 HU Moments
3.2 Wavelet Moments
3.3 Clustering Result Estimation
4 A New Descriptor of Motion
5 Experiment
6 Conclusion
References
Gesture Detection and Recognition Fused with Multi-feature Based on Kinect
1 Introduction
2 Human Static Gesture Recognition System
2.1 Whole System
2.2 Gesture Contour Acquisition Based on Depth Data
2.3 Feature Extraction
2.4 SVM Classifier
3 Experiment and Analysis
3.1 Gesture Recognition in Dynamic Environment
3.2 Gesture Recognition in Static Environment
4 Conclusion
References
An Interactive Method Based on Random Walk for Segmentation of Facial Nerve in NMR Images
1 Introduction
2 Algorithm
2.1 Hessian Matrix
2.2 Random Walk
3 Experimental Results and Analysis
3.1 Experimental Data
3.2 Extraction the Seeds
3.3 The Segmentation results
3.4 Discussion
4 Conclusions
References
Learning 3D Compact Binary Descriptor for Human Action Recognition in Video
1 Introduction
2 Proposed Descriptor
2.1 Compact Binary Face Descriptor
2.2 3D Compact Binary Descriptor
PDV Extraction.
The Training Process.
3D-CBD Representation.
3 Experiments
3.1 Datasets
KTH Dataset.
WEIZMANN Dataset.
3.2 Experimental Settings
3.3 Results and Analysis
4 Conclusion
References
Multi-scale Medical Image Segmentation Based on Salient Region Detection
1 Introduction
2 Algorithm Presentation
3 Experiments
3.1 Evaluation on Breast Image Dataset
3.2 Evaluation on Cervical Spine Image Dataset
3.2.1 Evaluation on Cervical Spine Image Dataset in Global Scale.
3.2.2 Evaluation on Cervical Spine Image Dataset in Regional Scale.
3.2.3 Evaluation on Cervical Spine Image Dataset in Vessel Scale.
4 Conclusion
References
A Method of ECG Identification Based on Weighted Correlation Coefficient
1 Introduction
2 Application of Correlation Coefficient in ECG Identification
3 ECG Identification Based on Template Contribution Rate
3.1 ECG Template Selection Based on Waveform Contribution Rate
3.2 ECG Identification Based on Weighted Template
4 Experiments and Results Analysis
4.1 Experimental Data and Method
4.2 Experimental Resu ult
5 Conclusion
References
Discriminative Feature Fusion with Spectral Method for Human Action Recognition
1 Introduction
2 Related Work
3 Effective Feature Extraction and Spectral-Based Methods
3.1 MIP Feature
3.2 HOG/HOF Features
3.3 Spectral-Based Methods for Dimensionality Reduction and Clustering
4 Experiments
4.1 Dataset and Experimental Setup
4.2 Experimental Results
5 Conclusion
References
DFDnet: Discriminant Face Descriptor Network for Facial Age Estimation
1 Introduction
2 Discriminant Face Descriptor Network (DFDnet)
2.1 DFD
2.2 DFD Network
The First Stage: DFD.
The Second Stage: DFD.
Output Stage: BOF.
Estimation Stage: LR.
3 Experiments
3.1 Databases
3.2 Comparison Between DFD and DFDnet
3.3 Comparison with Other Age Estimators
3.4 Age Estimation in Unconstrained Environment
4 Conclusions
References
Action Detection Based on Latent Key Frame
1 Introduction
2 Related Work
3 Latent Key Frames Model
3.1 Key Frames Definition
3.2 Latent Information Mining
3.3 Action Detect with LKFM
4 Experimental Evaluation
4.1 Experiment on Weizmann Dataset
4.2 Experiment on UCF Sports Dataset
5 Conclusion
References
A Facial Pose Estimation Algorithm Using Deep Learning
1 Introduction
2 The Proposed Algorithm
2.1 Overview of the Proposed Algorithm
2.2 The Network Archi itecture
2.3 Preprocessing
2.4 The Training Stage
3 Experimental Results
3.1 The Database
3.2 Comparison with State-of-the-Art
4 Conclusion
References
Age Estimation Based on Canonical Correlation Analysis and Extreme Learning Machine
1 Introduction
2 Feature Extraction Based on Canonical Correlation Analysis
3 Human Age Estimation By Extreme Learning Machine
4 Experimental Results
5 Conclusion
References
Research on the Intelligent Public Transportation System
1 Introduction
2 Related Work
2.1 Our Contributions
3 The Proposed BRC Model
3.1 Notations
3.2 Data Pre-Processing
3.3 Candidates Selection
3.4 Route Combination
4 The Proposed Solution for Peek Dilemma
4.1 RH-S Algorithm
4.2 Performance Evaluation
5 Experiments
5.1 Data-Set Generation
5.2 Result Display
Appendix
References
Discriminative Scatter Regularized CCA for Multiview Image Feature Learning and Recognition
1 Introduction
2 CCA
3 Approach
3.1 Characterize the Scatter with Class Information
3.2 CCA with Discriminative Scatter Regularization
4 Experiment
4.1 Data Set
4.2 Compared Algorithms
4.3 Experimental Results
5 Conclusions
References
A Novel Supervised CCA Algorithm for Multiview Data Representation and Recognition
1 Introduction
2 Review of CCA
3 Approach
3.1 Motivation
3.2 Formulation
3.3 Solution
3.4 Discussion
4 Experiments
4.1 Experiment Using the AT&T Database
4.2 Experiment Using the Yale-B Database
4.3 Experiment Using the COIL-20 Database
5 Conclusions
References
Facial Aging Simulation via Tensor Completion
1 Introduction
2 Tensor Completion Based Aging Simulation
2.1 Face Normalization by Using AAM
2.2 Tensor Completion based Aging Simulation
3 Experimental Results
3.1 Database
3.2 Experiment Setting
3.3 Aging Simulation
4 Conclusion
References
Single-image Motion Deblurring Using Charbonnier Term Regularization
1 Introduction
2 Proposed Method
2.1 The Blind Deconvolution Model
2.2 The Solver of the Proposed Model
3 The Experimental Results and Performance Analysis
4 Conclusions
References
Using GrCC for Color Image Segmentation Based on the Combination of Color and Texture
1 Introduction
2 The Proposed Method
2.1 Image Filtering
2.2 Texture Feature Extraction
2.3 GrCC and Reconstruction
3 Evaluation of Segmentation
4 Experiments and Analysis
4.1 Filtering Analysis
4.2 The Value of Orientation Selection
4.3 Segmentation Results Analysis
5 Conclusion and Future Work
References
Author Index

Systemvoraussetzungen

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