Advances in Image and Graphics Technologies 10th Chinese Conference IGTA 2015 Beijing China June 19 20 2015 Proceedings 1st Edition by Tieniu Tan, Qiuqi Ruan, Shengjin Wang, Huimin Ma, Kaichang Di – Ebook PDF Instant Download/DeliveryISBN: 3662477904, 9783662477908
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ISBN-10 : 3662477904
ISBN-13 : 9783662477908
Author: Tieniu Tan, Qiuqi Ruan, Shengjin Wang, Huimin Ma, Kaichang Di
This book constitutes the refereed proceedings of the 10th Chinese Conference on Advances in Image and Graphics Technologies, IGTA 2015, held in Beijing, China, in June 2015. The 50 papers presented were carefully reviewed and selected from 138 submissions. They provide a forum for sharing new aspects of the progresses in the areas of image processing technology, image analysis und understanding, computer vision and pattern recognition, big data mining, computer graphics and VR, image technology application.
Advances in Image and Graphics Technologies 10th Chinese Conference IGTA 2015 Beijing China June 19 20 2015 Proceedings 1st Table of contents:
Viewpoints Selection of 3D Object Recognition Based on Manifold Topological Multi-resolution Analysi
1 Introduction
2 Viewpoints Sele ction Method
3 Comparison
4 Recognition Exp periments
5 Conclusion
References
Fast Narrow-Baseline Stereo Matching Using CUDA Compatible GPUs
1 Introduction
2 PC for Narrow-Baseline Stereo
3 CUDA PC
4 Experiments
5 Conclusion
References
Semantic Description of Fish Abnormal Behavior Based on the Computer Vision
1 Introduction
2 Materials and Method
2.1 Introduction to the Acquisition Platform
2.2 Quantification of Activity Amount/Volume
2.3 Quantification of Average Height
3 Semantic Description of Fish Abnormal Behavior
4 Analysis of Experiments
5 Conclusion
References
Infrared Face Recognition Based on Adaptive Dominant Pattern of Local Binary Pattern
1 Introduction
2 Feature Extraction Based on LBP
3 Adaptive Dominant Pattern Features
4 The Distance Metrics of The Adaptive Pattern features
5 The Proposed Infrared Face Recognition
6 Experiment Results
7 Conclusions
References
Single Training Sample Face Recognition Based on Gabor and 2DPCA
1 Introduction
2 Gabor Feature of a Image
3 2DPCA Dimension Reducing Algorithm
4 The Proposed Method
5 Experiment Results
6 Conclusion
References
Vibe Motion Target Detection Algorithm Based on Lab Color Space
1 Introduction
2 Lab Color Space
3 Improved Vibe Algorithm Based on Lab Color Space
3.1 Background Model and Initialization
3.2 Choice of Pixel Distance
3.3 Modification of Pixel Classification
3.4 Updating Background Model
4 Experimental Results
4.1 Experiment 1
4.2 Experiment 2
5 Conclusion
References
Image Data Embedding with Large Payload Based on Reference-Matrix
1 Introduction
2 The Proposed Scheme
2.1 Definitions and Theorems
2.2 Secret Data Embed dding Phase
2.3 Secret Data Extracting Phase
3 Experimental R Results
4 Conclusions
References
A Novel Image Splicing Forensic Algorithm Based on Generalized DCT Coefficient-Pair Histogram
1 Introduction
2 The Proposed Scheme
2.1 Pixel-pair Histogram and Its Form
2.2 Generalized Coefficient-pair Histogram in DCT Domain
2.3 Classifier Training
3 Experimental Results and Analysis
3.1 Database for Test
3.2 Experimental Method
3.3 The Detection Performance of the Proposed Algorithm
3.4 The Comparison of Performance with other Approaches
4 Conclusions
References
A Patch-Based Non-local Means Denoising Method Using Hierarchical Searching
1 Introduction
2 Proposed Method
3 Experimental Results
4 Conclusions
References
Approach for License Plate Location Using Texture Direction and Edge Feature
1 Introduction
2 Image Preprocessing
3 Algorithm Description for License Plate Location
4 Experimental Results
5 Conclusions and Future Work
References
Object-Based Binocular Data Reconstruction Using Consumer Camera
1 Introduction
2 Camera-Self Calibration and Epipolar Rectification
3 Stereo Matching
4 Experimented Results
References
A Parallel SIFT Algorithm for Image Matching Under Intelligent Vehicle Environment
1 Introduction
2 The Principle of SIFT Algorithm
3 SIFT Parallel Algorithm Under the Intelligent Vehicle Environment
4 The Experimental Results and Analysis
References
Object Tracking Based on Particle Filter with Data Association
1 Introduction
2 Multi-object Tracking System Overview
3 Self-adaptive Tracking Window
4 Object Tracking
5 Experimental Results
6 Conclusion
References
A Cosegmentation Method for Aerial Insulator Images
1 Introduction
2 Proposed Method
Experimental Results
Conclusion
References
A Study on H.264 Live Video Technology with Android System
1 Introduction
2 System Designing
3 System Implementation
4 Conclusion
References
Solar Wafers Counting Based on Image Texture Feature
1 Introduction
2 Stripe
F Feature Analysis
3 Stripe Texture E Extraction
4 Differential Statistic Counting and Positioning
5 Experimental R Results Analysis
6 Conclusion
References
Robust Image Feature Point Matching Based on Structural Distance
1 Introduction
2 Definition of Structural Distance
3 Feature Point Matching
4 Fast Algorithm
5 Experimental Results
6 Conclusions
References
A Novel MRF-Based Image Segmentation Approach
1 Introduction
2 Grey Level Co-occurrence Matrix and Textural Measures
3 Segmentation Using Markov Random Field Model
4 Approach and Simulation Results
5 Conclusion
References
Flexible Projector Calibration in the Structured Light 3D Measurement System
1 Introduction
2 Projector Model
3 Experiments
4 Conclusions
References
Computational Complexity Balance Between Encoder and Decoder for Video Coding
1 Introduction
2 Distributed Video Coding
3 Balanced Video Coding(BVC)
4 Evaluation and Experiments Analysis
5 Conclusion
References
Application of Gravity Center Track in Gait Recognition Robust to Influencing Factors
1 Introduction
2 Related Work
3 Extracting the GCT
4 Spectrum Analysis
5 Experimental Results
6 Conclusion
References
Data Virtualization for Coupling Command and Control (C2) and Combat Simulation Systems
1 Introduction
2 C2/M&S Interoperability Technical Reference Model
3 Component-Based Comprehensive Data Visualization for C2-Combat Simulations Systems Semantic Intero
4 Case Study: Data Virtualization in the XTrain Federation
5 Conclusions
References
Ship Recognition Based on Active Learningand Composite Kernel SVM
1 Introduction
2 The Dataset Construction
3 The Proposed Method
3.1 Features Extraction
Shape Features.
Texture Features.
3.2 Active Learning
3.3 The Composite Kernel SVM
4 Experiments and Discussion
4.1 Experiments on Active Learning
4.2 Experiments on Composite Kernel SVM
5 Conclusion
References
Extraction of Plaque Characteristics in Iris Image
1 Iris Diagnosis
2 Iris Location
3 The Extraction of Plaques Feature
3.1 Iris Image’s Preprocess and the Localization of Edge of Iris
3.2 Extract the Interested Region
3.3 The Determination of Threshold Value
3.4 The Method of Extracting Plaque
4 Results
5 Conclusions
References
Research of Remote Sensing Image Compression Technology Based on Compressed Sensing
1 Introduction
2 Compressed Sensing
2.1 Sparse Representation
2.2 Design of Measurement Matrix
2.3 Reconstruction Algorithms
3 Remote Sensing Image Compression Method Based on Compressed Sensing
4 Experimental Results and Analysis
5 Conclusion
References
A Novel Camera-Based Drowning Detection Algorithm
1 Introduction
2 Our Proposed Algorithm
2.1 Background Recon nstruction and Update
2.2 Object Detection
2.3 Inter-Frame Based Denoising
3 Experimental Results and Analysis
4 Conclusions
References
The Extraction of Rutting Transverse Profiles’ Indicators Using 13-Point Based Lasers
1 Introduction
2 Equipment Introduction and Data Analysis
3 The Shape Establishment of Rut Cross-Section
4 The Extraction of Transverse Profiles’ Indicators
5 Conclusions
References
A 3D Reconstruction Method for Gastroscopic Minimally Invasive Surgery
1 Introduction
2 Materials and Methods
2.1 Basics of SFM Theory
2.2 Estimation of Intrinsic Parameters and Undistortion of Gastroscopic Videos
2.3 Estimation of Extrinsic Parameters and Calculation of 3D Coordinate
3 Results
4 Discussion and Conclusion
References
Learning Based Random Walks for Automatic Liver Segmentation in CT Image
1 Introduction
2 Method
2.1 Machine Learning Based Probability Image
2.2 Random Walks Based Liver Boundary Determination
3 Experimental Results
3.1 Visual Assessment
3.2 Quantitative Analysis
4 Conclusion
References
Corner Detection Algorithm with Improved Harris
1 Introduction
2 Harris Algorithm
3 The Improved Algorithm
4 Implementation and Performance Analysis of the Algorithm
5 Experimental Result
6 Conclusion
References
Fusion of Contour Feature and Edge Texture Information for Palmprint Recognition
1 Introduction
2 The Palmprint Recognition Algorithm Based on Gray Histogram
2.1 Gray Histogram
2.2 Recognition Rate Comparison Between Different Block Regions
2.3 The Extraction of Contour Features with Gray Histogram
3 Palmprint Recognition Algorithm Based on Differential Box Counting
3.1 Differential Box Counting
3.2 The Extraction of Edge Texture Features with Differential Box Counting
4 The Recognition Algorithm Based on Gray Histogram and Differential Box Counting
4.1 Introduction of the Proposed Method
4.2 Performance Comparison Between the Proposed Method and Traditional Methods
5 Conclusions
References
Design of Interactive System for Digital Splash-Color Painting Based on the Mobile Platform
Abstract.
Keywords:
1 Introduction
2 Creative Design of the Interactive System for the Digital Splash-Color Painting Based on the Mobil
2.1 Simulation of the Rendering Effect of “Splashing”
2.2 Origin of “Color” and Extraction Means
2.3 Simulation of the Sketching Effect of “Painting”
3 Realization of Digital Splash-Color Painting Creation
3.1 System Module Constitution
Fig. 1.
3.2 Realization Steps
3.2.1 Acquisition of Brushwork and Color Parameters Based on Individual Painters
3.2.1.1 Acquisition of Painters’ Brushwork
3.2.1.2 Acquisition of Painters’ Costume Color
3.2.2 Generation of Splash-Color Paintings Based on Individual Painters
3.2.3 Outline Drawing of Splash-Color Painting Based on Individual Painters
3.3 Development Direction of Splash-Color Painting Interaction Design
4 Conclusion
Acknowledgements.
Reference
Micro-video Segmentation Based on Histogram and Local Optimal Solution Method
1 Introduction
2 Histogram Matching
3 Segmentation Method of Video Based on Local Optimal Solution
3.1 Local Optimal Solution for Segmentation
3.2 Experimental Results and Analyses
4 Conclusion
References
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