Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology: Methods and Algorithms, Proceedings of IC3DIT 2019, ... Innovation, Systems and Technologies, 179)

International Program Committee
	Honorary Chair
	General Chairs
	Organizing Chair
	International Advisory Chair
	Founder of IRNet China
	Co-founder of IRNet China
	TPC Members
	Sponsors
Preface
Contents
About the Editors
1 Study Optimization of Thermal Analysis of Anisotropic Materials in 3D Field Based on One-Dimensional Heat Conduction Equation Model
	1.1 Introduction
	1.2 Heat Transfer Mode and Process Analysis
	1.3 Optimization Model of Protective Clothing Design for High-Temperature Engineering Work
		1.3.1 The Establishment of the Model and the Proposal of the Hypothesis Conditions
		1.3.2 Optimization Model Based on Inversion Method
	1.4 Conclusion
	References
2 Shape Retrieval for 3D Models Based on MRF
	2.1 Introduction
	2.2 Feature Descriptor
	2.3 Framework of Retrieval
		2.3.1 Notations
		2.3.2 Formulation
		2.3.3 Potential Function
	2.4 Spatial Consistency Test
		2.4.1 Training
		2.4.2 Testing
		2.4.3 Index Based on Random Forest
		2.4.4 Measure Similarity
	2.5 Experiments
	2.6 Conclusions
	References
3 Numerical Conformal Mapping Based on Improved Hermitian and Skew-Hermitian Splitting Method
	3.1 Introduction
	3.2 Numerical Conformal Mapping Based on the Charge Simulation Method
	3.3 Improved HSS Method Based on (k, j)-Padé Iteration Method
	3.4 Numerical Examples
	3.5 Conclusions
	References
4 Hierarchical Clustering-Based Video Summarization
	4.1 Introduction
	4.2 Feature Extraction
		4.2.1 Color Feature
		4.2.2 Texture Feature
	4.3 The Proposed Algorithm
		4.3.1 Hierarchical Clustering Method
		4.3.2 Optimize Initial Clustering Results to Extract Video Summary Key Frames
	4.4 Experimental Results and Discussion
		4.4.1 Evaluation Standard
		4.4.2 Experimental Results
	4.5 Conclusion
	References
5 Research on Multi-objective Optimization Problem of Engineering Project in 3D Field Based on Improved Particle Swarm Optimization Algorithm
	5.1 Introduction
	5.2 IPSO Algorithms
	5.3 Model
	5.4 Engineering Calculation and the Result Analysis
	5.5 Conclusions
	References
6 3D Path Planning Based on Improved Particle Swarm Optimization Algorithm
	6.1 Introduction
	6.2 Path Planning Environment Modeling and Fitness Function
		6.2.1 Environmental Modeling
		6.2.2 Fitness Function
	6.3 Improved PSO Algorithm
		6.3.1 Basic PSO Algorithm
		6.3.2 BFO Algorithm
		6.3.3 Hybrid Algorithm
	6.4 Simulation Verification
	6.5 Conclusion
	References
7 Improving Parallel Magnetic Resonance Imaging Reconstruction Using Nonlinear Time Series Analysis
	7.1 Introduction
	7.2 Background
	7.3 Method
	7.4 Experimental Results
	7.5 Conclusion
	References
8 Low Computational Complexity Third-Order Tensor Representation Through Inverse Spectrum Pyramid
	8.1 Introduction
	8.2 Method for Third-Order Tensor Representation Through 3D Reduced ISP
		8.2.1 Representation of a Tensor of Size 4 × 4 × 4
		8.2.2 Representation of the Tensor of Size N × N × N Through N-Level 3D-RISP
	8.3 Characteristics of the Spectrum Tensor Representation
	8.4 Conclusions
	References
9 Spectral Reconstruction Based on Bayesian Regulation Neural Network
	9.1 Introduction
	9.2 Principle of Spectral Reflectance Reconstruction
		9.2.1 Polynomial Regression
		9.2.2 Bayesian Regularization BP Neural Network Algorithm
	9.3 Experimental Results and Analysis
		9.3.1 Experiment Process
		9.3.2 Analysis and Comparison of Results
	9.4 Conclusion
	References
10 Loose Hand Gesture Recognition Using CNN
	10.1 Introduction
	10.2 The Proposed Method
		10.2.1 Training Data Preparation
		10.2.2 The Proposed Neural Network Architecture
		10.2.3 Loss Function
	10.3 Experiments
		10.3.1 CNN with Input RGB-D Images
		10.3.2 CNN with Multi-resolution Features
		10.3.3 Compared with Other Popular CNN Models
	10.4 Conclusions
	References
11 Multi-focus Image Fusion Method Based on NSST and BP Neural Network
	11.1 Introduction
	11.2 Image Fusion Method
		11.2.1 NSST Transformation
		11.2.2 Feature Extraction and NSST Contrast
		11.2.3 BP Neural Network Training
		11.2.4 Algorithm Framework and Steps
	11.3 Experiments Results
	11.4 Conclusions
	References
12 Classification of 3D Remote Sensing Images Through Dimensionality Reduction and Semantic Segmentation Network
	12.1 Introduction
	12.2 Proposed Method
		12.2.1 The Whole Approach Framework
		12.2.2 Rasterization
		12.2.3 Normalization and Hat Transform
		12.2.4 DSM Post-processing
		12.2.5 Network for Classification
	12.3 Experiment
		12.3.1 Training Deeplabv3+
		12.3.2 Post-processing by NDSM
		12.3.3 Visualization of 3D Remote Sensing Images
	12.4 Conclusion
	References
13 Research on Deep Learning Algorithm and Application Based on Convolutional Neural Network
	13.1 Introduction
	13.2 Convolutional Neural Network
		13.2.1 Local Connection of Convolutional Neural Networks
		13.2.2 Weight Sharing in Convolutional Neural Networks
	13.3 The Overall Structure of the Convolutional Neural Network
	13.4 The Application of Deep Learning Algorithm Based on Convolutional Neural Network
		13.4.1 Application in the Field of Natural Language Processing
		13.4.2 Application in the Field of Image Recognition
		13.4.3 Application in the Field of Speech Recognition
	13.5 The Conclusion
	References
14 Object Attribute Recognition Based on Hard Negative Mining and Convolutional Neural Network
	14.1 Introduction
	14.2 Object Location Based on Improved Faster R-CNN Model
		14.2.1 Hard Negative Mining Strategy
		14.2.2 OHEM-Faster R-CNN Object Location Model
	14.3 Object Attribute Recognition Method Based on Improved Cascade Convolution Neural Network Model CS-CNN Model
		14.3.1 Improved Activation Function and Loss Function
		14.3.2 Improved CS-CNN Model Object Attribute Recognition Method
	14.4 Experimental Simulations
		14.4.1 Model Parameters
		14.4.2 Experimental Simulations of Object Location
		14.4.3 Contrastive Experimental Simulations of Object Attribute Recognition
	14.5 Conclusion
	References
15 Research on Intelligent Identification Method of Power Equipment Based on Deep Learning
	15.1 Introduction
		15.1.1 Background
		15.1.2 Purpose and Significance
		15.1.3 Summary of Research Level at Home and Abroad
	15.2 Solutions and Key Technologies
		15.2.1 Power Equipment Image Processing and Feature Extraction
		15.2.2 Power Equipment Classification
		15.2.3 Establish a Standardized Image Analysis Library
	15.3 Conclusion
	References
16 Chinese Color Name Identification from Images Using a Convolutional Neural Network
	16.1 Introduction
	16.2 Color Vocabulary Labeled Data Set
	16.3 The Model of Color Recognition
		16.3.1 Design of Multi-label Convolutional Neural Networks
		16.3.2 Evaluation Criteria
		16.3.3 Choosing the Appropriate Threshold
	16.4 Conclusion
	References
17 Research and Design of a Key Technology for Accelerating Convolution Computation for FPGA-Based CNN
	17.1 Introduction to Relevant Theories
		17.1.1 Introduction to Convolution Neural Network
		17.1.2 The Training Process
	17.2 SpNet Model
	17.3 Research on Correlation Algorithm Research
		17.3.1 Im2col Algorithm
		17.3.2 Strassen Algorithm
		17.3.3 Improved Strassen Algorithm
	17.4 An Accelerated Convolution Calculation Scheme Based on FPGA
		17.4.1 Design of Training Architecture of Convolutional Neural Network Based on FPGA
		17.4.2 Design and Implementation of Convolution Computing Module
		17.4.3 Testing the Convolutional Neural Network
	17.5 Summary
	References
18 Research on Voice Mark Recognition Algorithms Based on Optimized BP Neural Network
	18.1 Introduction
	18.2 Wavelet Transform of Voice Signal
	18.3 Basic Conception of BP-GA
		18.3.1 Construction of BP Neural Network VoicePrint Recognition
	18.4 Design of Genetic Algorithm
	18.5 Simulation Analyses of an Example with BP-GA Algorithm
	18.6 Conclusions
	References
19 Single Image Super Resolution via Deep Convolutional Dual Upscaling Branches with Different Focus
	19.1 Introduction
	19.2 Related Works
		19.2.1 Variant Shortcuts
		19.2.2 Skillfully Nesting Modules
	19.3 Proposed Method
		19.3.1 The Entire Structure
		19.3.2 Residual Learning Branch
		19.3.3 Planar Component Branch
		19.3.4 Mathematical Formulation
	19.4 Experimental Results
		19.4.1 Datasets
		19.4.2 Parameters Settings
		19.4.3 Results and Comparisons
		19.4.4 Ablation Analysis
	19.5 Conclusions
	References
20 Human Heart Model Rendering Based on BRDF Algorithm
	20.1 Introduction
	20.2 Theoretical Research and Experimental Methods
		20.2.1 Theoretical Research
		20.2.2 Experimental Method
	20.3 Experimental Results
		20.3.1 Experimental Conditions
		20.3.2 Rendering Results and Analysis
	20.4 Conclusions and Discussion
	References
21 Level Set Segmentation Algorithm for Cyst Images with Intensity Inhomogeneity
	21.1 Introduction
	21.2 C-V Model
	21.3 Improved C-V Level Set Model
		21.3.1 Local Information
		21.3.2 Speed Function
		21.3.3 Overall Energy Functional
	21.4 Experimental Results and Analysis
	21.5 Conclusion
	References
22 A Robust and Fast Template Matching Algorithm
	22.1 Introduction
	22.2 Proposed Method
		22.2.1 Composite Morphological Filter Design
		22.2.2 The Principle of a Novel Lowpass Filters
		22.2.3 Improved Weighted Hamming Distance
		22.2.4 Determination of Threshold Tk
	22.3 Experiment and Result Analysis
	22.4 Conclusion
	References
23 Infrared and Visible Image Fusion Algorithm Based on Threshold Segmentation
	23.1 Introduciton
	23.2 Laplacian Pyramid
	23.3 Fusion Algorithm
		23.3.1 Fusion Ideology
		23.3.2 Infrared Image Segmentation
		23.3.3 High-Frequency Coefficient Fusion Rules
		23.3.4 LF Coefficient Rules
	23.4 Results and Analysis
	23.5 Conclusion
	References
24 Improved K-Means Algorithm for Optimizing Initial Centers
	24.1 Introduction
	24.2 Clustering Process of the Algorithm
		24.2.1 Traditional Algorithm
	24.3 Analysis of the Algorithm
	24.4 Improvement of K-Means Algorithm
		24.4.1 Improvement on the Selection of Initial Cluster Centers
		24.4.2 Rule Initial Clustering Center
		24.4.3 Experiments and Analysis of Improved Algorithms
		24.4.4 Improved Algorithm Analysis
	24.5 Conclusion
	References
25 An Improved AdaBoost Algorithm for Handwriting Digits Recognition
	25.1 Introduction
	25.2 Adaboost Algorithm
		25.2.1 Boosting Method
		25.2.2 Algorithm: AdaBoost
		25.2.3 Forward Stagewise Algorithm
		25.2.4 The Feature of AdaBoost
	25.3 Experiment and Result
	25.4 Conclusion
	References
26 FCM Based on Improved Artificial Bee Colony Algorithm
	26.1 Introduction
	26.2 Fuzzy Clustering
		26.2.1 Fuzzy C-Means Clustering
		26.2.2 Fitness Function
	26.3 The ABC Algorithm
		26.3.1 Initialization Stage
		26.3.2 Employed Bees’ Stage
		26.3.3 Onlooker Bees’ Stage
		26.3.4 Scout Bees’ Stage
	26.4 Fuzzy C-Means Clustering Algorithm Based on Improved Artificial Bee Colony (IABC) Algorithm
		26.4.1 Some Improvements of Search Strategy
		26.4.2 Improved Search Method for Scout
		26.4.3 Basic Steps of Fuzzy C-Means Clustering Based on IABC Algorithm
	26.5 Experimental Simulations and Analysis
		26.5.1 The Performance of the IABC Algorithm
		26.5.2 Analysis of FCM Clustering Performance Based on IABC Algorithm
	26.6 Conclusion
	References
27 Airplane Trajectory Planning Using Artificial Immune Algorithm
	27.1 Introduction
	27.2 Artificial Immune Algorithm (AIA) and Its Application on TA/TF2 Tracking
		27.2.1 An Introduction to AIA
	27.3 Experiments and Results
	27.4 Discussions and Conclusions
	References
28 A New Method for Removing Image Noise
	28.1 Introduction
	28.2 Image Denoising Method Based on Pixel Relationship
		28.2.1 Newton’s Law of Universal Gravitation
		28.2.2 The Algorithm Principle
		28.2.3 The Threshold Determination
	28.3 Experimental Results
	28.4 Conclusion
	References
29 Sparse Impulsive Noise Corrupted Compressed Signal Recovery Using Laplace Noise Density
	29.1 Introduction
	29.2 Model Building of the Compressive Sensing
	29.3 Parameter Estimation of the Model
	29.4 Experiment
	29.5 Conclusion
	References
30 An Improved Criminisi’s Image Inpainting Algorithm for Priority and Matching Criteria
	30.1 Introduction
	30.2 Improved Criminisi Algorithm
		30.2.1 Criminisi Algorithm
		30.2.2 Limitations of the Original Algorithm
		30.2.3 Improved Priority
		30.2.4 Improved Similarity Matching Criteria
	30.3 Experimental Results and Analysis
	30.4 Conclusion
	References
31 An Improved Image Restoration Algorithm Based on the Criminisi Algorithm and Least Squares Method
	31.1 Introduction
	31.2 Criminisi Algorithm
		31.2.1 Basic Criminisi Algorithm
		31.2.2 Criminisi Algorithm Steps
		31.2.3 The Improved Algorithm
	31.3 Experimental Results
		31.3.1 Analysis of Experimental Results
	31.4 Conclusion Remarks
	References
32 Research on Stereo Image Synthesis Based on Oblique Photography of UAV
	32.1 Introduction
	32.2 System and Principle of Stereoscopic Image Synthesis by Oblique Photography
		32.2.1 Technical Process of Stereoscopic Image Synthesis by Oblique Photography
	32.3 Experiments and Results
		32.3.1 Field Data Collection
		32.3.2 Automatic and Fast 3D Model Construction
		32.3.3 Stereo Image Pair Synthesis
	32.4 Conclusion
	References
33 Research on Production of Stereoscopic UAV Aerial Photography Based on Optical Flow Image Migration Technology
	33.1 Introduction
	33.2 3D Conversion of the UAV 2D Images
		33.2.1 Principle Analysis of 3D Conversion of the UAV 2D Images
		33.2.2 Optical Flow Image Migration Technology and Generation of Stereoscopic Pairs
	33.3 Experiment and Result
	33.4 Conclusion
	References
34 Design of Intelligent Feeding System Based on Computer Vision for Indoor Breeding Fixed Locations
	34.1 Introduction
	34.2 Agency Design
	34.3 Visual Tracking Algorithm
		34.3.1 Proof of Theoretical Relationship Derivation
		34.3.2 Camera Calibration and Vision Tracking Algorithm
	34.4 Experimental Verification and Analysis
		34.4.1 Camera Calibration Experiment
		34.4.2 Visual Tracking Results
	34.5 Conclusion
	References
35 A Real-Time Detection Method of Substation Equipment Label Based on Computer Vision
	35.1 Introduction
	35.2 Preprocessing
		35.2.1 Image Filter
		35.2.2 Image Segmentation
	35.3 Algorithm Design
		35.3.1 Sobel Operator
		35.3.2 Linear Fitting
		35.3.3 Algorithm Flow
	35.4 Experimental Result and Analysis
	35.5 Conclusion
	References
36 Target Model Construct Method Based on Sobel and Snake Algorithm
	36.1 Introduction
	36.2 Traditional Modeling Method
	36.3 Target Extraction Based on Edge Detection
		36.3.1 Edge Detection of the Target Area
		36.3.2 Snake Algorithm
	36.4 Extraction Process of Target Outline Template
	36.5 Conclusions
	References
37 Parent Block Classification of Fractal Image Coding Algorithm Based on ‘Shizi’ Feature
	37.1 Introduction
	37.2 Coding Algorithm
		37.2.1 Decoding Process
	37.3 Results and Discussion
		37.3.1 Threshold Effect
		37.3.2 Matching Error e
	37.4 Decoding Result
	37.5 Conclusion
	References
38 An Improved LBP Feature Extraction Algorithm
	38.1 Introduction
	38.2 Basic LBP
	38.3 Round Field LBP
	38.4 Improved LBP Algorithm
	38.5 Experimental Analysis
	38.6 Conclusion
	References
39 QR Code Digital Watermarking Algorithm Based on Two-Dimensional Logistic Chaotic Map
	39.1 Introduction
	39.2 Research on Related Technology
		39.2.1 Message-Digest Algorithm 5 (MD5)
		39.2.2 Two-Dimensional Logistic Chaotic Map
	39.3 Design of Digital Watermarking Algorithm Based on QR Code
		39.3.1 QR Code Digital Watermark Embedding Algorithm
		39.3.2 QR Code Digital Watermark Extraction Algorithm
	39.4 The Experimental Results and Analysis
	39.5 Conclusion
	References
40 A Software Watermarking Algorithm Based on Instruction Encoding and Resource Section Format
	40.1 Introduction
	40.2 Research on Related Technology
		40.2.1 PE File Code Section Analysis
		40.2.2 PE File Resource Section Analysis
	40.3 A Software Watermarking Algorithm Based on Instruction Encoding and Resource
		40.3.1 Watermark Embedding Algorithm
		40.3.2 Watermark Extraction Algorithm
	40.4 Experimental Results and Analysis
		40.4.1 Experimental Environment and Pretreatment
		40.4.2 Performance Analysis
	40.5 Conclusion
	References
41 High-Security Image Watermarking with Multilevel Embedding Using Various Image Transform Techniques
	41.1 Introduction
	41.2 Literature Survey
	41.3 Proposed Method
		41.3.1 Embedding Algorithm
		41.3.2 Extraction Algorithm
	41.4 Experimental Results
	41.5 Conclusion
	References
42 The Research and Design of Virtual Reality Technology-Based Teaching Cloud Platform
	42.1 Introduction
		42.1.1 The Concept of Virtual Reality
		42.1.2 Virtual Reality Technology
		42.1.3 The Characteristic of Virtual Reality
	42.2 Design of VR Teaching Cloud Platform
		42.2.1 Frame of VR Teaching Cloud Platform
		42.2.2 Logical Architecture Design
		42.2.3 Functional Structure Design
	42.3 Design of Network Topology Structure
	42.4 Conclusion
	References
43 Research on Secure Keyword Query Based on Cloud Computing
	43.1 Introduction
	43.2 Model
		43.2.1 System Model
		43.2.2 Design Goal
	43.3 Query Result Design
		43.3.1 System Summary
		43.3.2 Prepare Validation Data
		43.3.3 Submit Fetch Validation Data Request
		43.3.4 Return Validation Data
		43.3.5 Verify the Query Results
		43.3.6 Update Validation Data
	43.4 Analysis
		43.4.1 Safety Analysis
		43.4.2 System Deterrence Analysis
		43.4.3 System Performance Analysis
		43.4.4 Probability Analysis of Illegal Behavior Detection
	43.5 Conclusions
	References
44 Three-Dimensional Computational Imaging with One Liquid Crystal Lens Camera and Refocusing from Extended Depth of Field Intensity and Depth Image Pair
	44.1 Introduction
	44.2 Proposed Imaging System
	44.3 Experimental Results
	44.4 Conclusions
	References
45 Application of Finite Element Analysis in Calibration of Non-contact Magnetic Piezoelectric Type of Displacement Sensor
	45.1 Introduction
	45.2 The Structure of Non-contact Magnetic Piezoelectric Displacement Sensor
	45.3 Sensor Modeling and Simulation
		45.3.1 Establishment of Parametric Model
		45.3.2 Define Material Properties
		45.3.3 Establish the Finite Element Model and Solve It
	45.4 Experimental Verification
	45.5 Conclusion
	References
46 Approaching Obstacle Detection by a Vehicle Fisheye Camera
	46.1 Introduction
	46.2 Imaging Model of Fisheye Camera
	46.3 Approaching Object Detection
		46.3.1 Feature Point Detection and Matching Based on Fisheye Image
		46.3.2 Feature Point Clustering
		46.3.3 Approaching Feature Point Detection Based on Scaling Ratio
		46.3.4 Moving Object Area Generation
	46.4 Experimental Results
	46.5 Conclusion
	References
47 Autostereoscopic 3D Display System Based on Lenticular Lens and Quantum-Dot Film
	47.1 Introduction
	47.2 System Configuration and Operation Principle
		47.2.1 System Description
		47.2.2 System Error Analysis
	47.3 Experiment
	47.4 Results and Discussion
		47.4.1 The Evaluation of Lenticular Lens
		47.4.2 The Evaluation of Exit Pupils
		47.4.3 Measurement of the Color Gamut
	47.5 Conclusion
	References
48 The Effect of the Pixel Shape to the Autostereoscopic Display Crosstalk
	48.1 Introduction
	48.2 System Description and Working Principle
		48.2.1 Theory of Diffraction
		48.2.2 Theory of Diffraction
	48.3 Simulation and Result
	48.4 Conclusion
	References
49 A New Directional Backlight Using Blue Light LED Design for Autostereoscopic 3D Displays
	49.1 Introduction
	49.2 Principle of Operation
	49.3 Conclusion
	References
50 Time-Multiplexed Stereoscopic Display Technology Based on Side-Dynamic Areal Backlight
	50.1 Introduction
	50.2 Design and Principle of Side-Dynamic Areal Backlight
		50.2.1 The Principle of Time-Multiplexed Stereoscopic Display Technology
		50.2.2 Introduction of Side-Dynamic Areal Backlight
	50.3 Verification and Results
		50.3.1 The Measurement of Cross Talk
		50.3.2 The Measurement and Analysis of Color Gamut
	50.4 Conclusion
	References
51 A Robust Eye Localization System for Autostereoscopic Display Using a Multiple Camera
	51.1 Introduction
	51.2 Principle of Eye Localization System
		51.2.1 YOLO-V3 Network Models
		51.2.2 Candidate Area Extraction Theory
		51.2.3 Stereo Matching Method
	51.3 Experiments and Results
	51.4 Conclusion
	References
52 2D-3D Autostereoscopic Switchable Display Based on Multi-distance Dynamic Directional Backlight
	52.1 Introduction
	52.2 System Description
	52.3 Prototype Setup
		52.3.1 Whole Structure
		52.3.2 The Fabrication of Multi-distance Directional Optics
	52.4 Experiment and Result
		52.4.1 Exit Pupil Formation
		52.4.2 The Measurement of Crosstalk
		52.4.3 Signal Synchronization
	52.5 Conclusion
	References
53 An Optimization Image Dehazing Algorithm Based on Dark Channel Prior
	53.1 Introduction
	53.2 Dark Channel Priori Theory
		53.2.1 Atmospheric Scattering Model
		53.2.2 Dark Channel Theory
		53.2.3 Coarse Transmittance
		53.2.4 Estimation of Global Atmospheric Light A
	53.3 The Improvement of Algorithm
		53.3.1 The Correction of Coarse Transmittance
		53.3.2 Bright Area Optimization
	53.4 Experimental Result
	53.5 Conclusion
	References
54 A Crosstalk-Suppression Lookup Table Based on Gray-Level Pair Measurement
	54.1 Introduction
	54.2 Mechanism of Crosstalk
	54.3 Crosstalk Suppression
		54.3.1 Ideal Condition Without Crosstalk
		54.3.2 Gray-Level Pair Measurement
		54.3.3 Lookup Table
		54.3.4 Discussion
	54.4 Result
	54.5 Conclusion
	References
55 A New Algorithm for Blind Separation of Speech and Background Music
	55.1 Introduction
	55.2 Independent Component Analysis Principle
	55.3 Guidelines Function
	55.4 SSSE Algorithm Principle
	55.5 An SSSE-Based ICA Algorithm
	55.6 Experimental Results and Analysis
	55.7 Conclusion
	References
Author Index