Computer Vision

Name: Computer Vision | CCF Chinese Conference, CCCV 2015, Xi'an, China, September 18-20, 2015, Proceedings, Part I
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CCF Chinese Conference, CCCV 2015, Xi'an, China, September 18-20, 2015, Proceedings, Part I

Honbin Zha Xilin Chen Liang Wang Qiguang Miao(Editor)

Springer (Publisher)

Published on 18. September 2015

XX, 462 pages

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978-3-662-48558-3 (ISBN)

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Content

Intro
Preface
Organization
Organizers
Contents - Part I
Contents - Part II
Fusion Technique for Infrared and Visible Images Based on Improved Quantum Theory Model
1 Introduction
2 Traditional Quantum Theory Model
3 Proposed Fusion Technique
3.1 Improved Quantum Theory Model
3.2 Concrete Fusion Algorithm
4 Experimental R Results and Discussion
5 Conclusions
References
Skeleton-Based Human Action Recognition with Profile Hidden Markov Models
1 Introduction
2 Related Work
3 Proposed Method
3.1 Representation of Meaningful Action Units
3.2 Clustering Feature Using Unsupervised Learning
3.3 Profile HMMs for Temporal Alignment of Human Motion
4 Experimental Evaluation
4.1 Evaluation Settings
4.2 Experimental Results
5 Conclusions and Future Work
References
Single Image Super-Resolution via Blind Blurring Estimation and Dictionary Learning
1 Introduction
2 Related Work
2.1 Internal Statistics and Blur Kernel Estimation
2.2 Coupled Dictionary Learning
3 Proposed Approach
3.1 Blind Kernel Estimation with SPP
3.2 SR Recovery
4 Experimental Results
4.1 Comparisons for BKE
5 Conclusion
References
Two-layers Local Coordinate Coding
1 Introduction
2 Prior Art
3 Two-Layers Local Coordinate Coding
3.1 Lipschitz Smoothness
3.2 Two-layers Coordinate Coding
4 Two-Layers Coding Formulation
4.1 First-Layer Formulation
4.2 Second-Layer Formulation
5 Experiment Verification
5.1 Quantitative Results
5.2 Applications in Robotics
6 Conclusions
References
A Graph Matching and Energy Minimization Based Algorithm for Lunar Surface Image Mosaic
1 Introduction
2 The Proposed Lunar Surface Image Mosaic Algorithm
2.1 Graph Matching Based Image Registration
Feature Extraction.
Feature Correspondence.
Image Transformation and Interpolation.
2.2 Energy Minimization Based Image Stitching
Exposure Compensation.
Pixel Labelling.
Gradient Reconstruction.
3 Experiment
4 Conclusion
References
A Real Time Robust Hand Tracking Method with Normal Cameras
1 Introduction
2 Efficient Tracking Framework
2.1 Initial Hand Detection
2.2 Segmentation Module
2.3 Tracking Module
3 Enhancements for Robust Tracking
3.1 Failure Compensation
3.2 Adaptive Threshold Segmentation
3.3 Interference Alert/Mitigation
4 Tracking Performance
4.1 Evaluation Setup
4.2 Tracking Efficiency
4.3 Tracking Robustness
5 Conclusions
References
Hypergraph Regularized Autoencoder for 3D Human Pose Recovery
1 Introduction
2 Hypergraph Regularized Autoencoder
2.1 Marginalized Denoising Autoencoders
2.2 Manifold Regularization
2.3 Hypergraph Optimization
3 Experimental Evaluation
3.1 Datasets and Settings
3.2 Optimization of Autoencoders
3.3 Comparison with State-of-the-Arts
4 Conclusion
References
Target Recognition Based on Feature Weighted Intuitionistic FCM
1 Introduction
2 Algorithm for Feature Weighted Intuitionistic Fuzzy
means Clustering
3 Experimental Results and Analysis
3.1 FWIFCM Algorithm's Clustering Experiment
3.2 Target Recognition Simulation Instance Based on the Algorithm of FWIFCM
4 Conclusions
References
The Modified Mumford-Shah Model Based on Nonlocal Means Method for Textures Segmentation
1 Introduction
2 The Mumford-Shah Model
3 The Modified Mumford-Shah Model Based on Nonlocal Means Method
3.1 Nonlocal Operators
3.2 The Proposed Model
4 Experiment and Analysis
5 Conclusions
References
Segmentation-Based Salient Object Detection
1 Introduction
2 Method
2.1 Salient Object Detection with Segmentation
2.2 A New Dataset Labeled with Hierarchical Salient Objects
3 Experimental Results
4 Conclusion and Discussion
References
Non-uniform Motion Deblurring Using Normalized Hyper Laplacian Prior
1 Introduction
2 Related Work
3 Proposed Method
3.1 Framework of Efficient Filter Flow
3.2 Normalized Hyper Laplacian Prior in EFF
3.3 Removing Poorly Estimated Blur Kernels
3.4 Re-estimating Erroneous Local Kernels
4 Numerical Experiments
5 Conclusion
References
Robust Mean Shift Tracking Based on Refined Appearance Model and Online Update
1 Introduction
2 Mean Shift Tracking Algorithm
3 The Proposed Tracking Algorithm
3.1 Simple Tracking
3.2 Model Construction
3.3 Tracking with Refined Model
3.4 Model Update
3.5 Summary of the Whole Algorithm
4 Experiments
5 Discussion
6 Conclusion
References
An Effective Multiview Stereo Method for Uncalibrated Images
1 Introduction
2 Overview
3 Match Expansion
4 Point-Cloud Expansion
4.1 Optimization
4.2 Expansion
5 Experimental Results and Comparisons
6 Conclusion
References
The Human Image Segmentation Algorithm Based on Face Detection and Biased Normalized Cuts
1 Introduction
2 Related Work
2.1 Face Detection
2.2 Human Image Segmentation
3 Our Algorithm Based on Face Detection and Biased Normalized Cuts
4 Analysis and Experiments
5 Conclusions and Future Work
References
Survey on Eye Movement Based Authentication Systems
1 Introduction
2 Eye Movement Based Authentication Framework and Technical Modules
3 Cases Study
3.1 FBI + APM + KBID
3.2 FBI + GPM + KBID
3.3 FBI + GPM + BBID
3.4 SBI + APM + KBID
3.5 SBI + GPM + BBID
4 Discussion
4.1 Fixation vs. Saccade
4.2 APM vs. GPM and KBID vs. BBID
4.3 Summary and Comparison of State-of-the-Art EMBA Systems Technical Details
5 Conclusion
References
A Discriminant Sparse Representation Graph-Based Semi-Supervised Learning for Hyperspectral Image Classification
1 Introduction
2 Related Works
3 Discriminant Sparse Representation Graph Construction
3.1 Estimation of Class-Probability
3.2 Discriminant Sparse Representation Graph
4 Experiments and Analysis
4.1 Experimental Datasets
4.2 Results of Classification Experiments
5 Conclusion
References
Multispectral Image Classification Using a New Bayesian Approach with Weighted Markov Random Fields
1 Introduction
2 The Proposed Method
2.1 GMM Modeling for Likelihood Function
2.2 Anisotropic MLL for Spatial Prior
2.3 Computing the MAP Estimate via Simulated Annealing
3 Experiments
3.1 Data Sets
3.2 Experimental Results
4 Conclusion
References
Effective Facial Expression Recognition via the Boosted Convolutional Neural Network
1 Introduction
2 Related Works
3 The Proposed Boosted-CNN Method
3.1 Overview
3.2 Reducing Over-Fitting
3.3 Boosting Algorithm
4 Experimental Results
4.1 Experiment on the CK+ Database
4.2 Experiments on JAFFE Database
5 Conclusion and Future Work
References
Structured Sparse Coding for Classification via Reweighted 2,1 Minimization
1 Introduction
2 Related Work
3 Our Method
3.1 Problem Formulation
3.2 The Proposed Iterative Algorithm
3.3 Classification Process
4 Experiment
4.1 Implementation Details
4.2 Face Recognition
4.3 Gender Classification
4.4 Scene Classification
5 Summary
References
Detail-Enhanced Cross-Modality Face Synthesis via Guided Image Filtering
1 Introduction
2 Related Work
3 Cross-Modality Face Synthesis
3.1 K-NN-Based Algor rithm
3.2 Guided Image Filtering-Based Algorithm
4 Experimental Results
4.1 Evaluation on the CUHK Benchmark Dataset
4.2 Visible-to-Near-Infrared Face Synthesis
5 Conclusions
References
Edge-Directed Single Image Super-Resolution via Cross-Resolution Sharpening Function Learning
1 Introduction
2 Edge-Directed Single-Image Super-Resolution
3 Cross-Resolution Gradient Magnitude Sharpening
3.1 Construction of Tl
3.2 High-Resolution Gradient Construction
4 Implementation
5 Experiments and Analysis
5.1 Comparisons with the State-of-the-Art Approaches
5.2 Large-Scale Comparison
5.3 Comparisons with Edge-Directed Reconstruction Method
6 Conclusion and Discussion
References
Compressive Tracking Based on Particle Filter
1 Introduction
2 Fast Compressive Tracking
3 Proposed Method
3.1 The Element Number of Measurement Vector
3.2 Calculation Method of Particle Weights
4 Experiments
4.1 Quantitative Evaluation
4.2 Visual Evaluation
5 Conclusions
References
An Adaptive Threshold Algorithm for Moving Object Segmentation
1 Introduction
2 Object Segmentation Based on Fixed Threshold
3 Object Segmentation Algorithm Based on Adaptive Threshold
3.1 The Basic Steps of the Algorithm
3.2 Threshold Initialization Based on Gaussian Mixture Model and Grabcut
3.3 Threshold Learning Based on K-Means Clustering
3.4 Threshold Updating
4 Experimental Results
5 Conclusions
References
Interactive Registration and Segmentation for Multi-Atlas-Based Labeling of Brain MR Image
1 Introduction
2 Method
2.1 Image Registration via Minimum Spanning Tree
2.2 Segmentation via Label Fusion
2.3 Interactive Registration and Segmentation
2.4 Summary: The Interactive Registration-Segmentation Pipeline
3 Experimental Results
4 Discussion
Negative-Supervised Cascaded Deep Learning for Traffic Sign Classification
1 Introduction
2 Related Work
3 Our Method
3.1 Deep Convolutional Neural Networks
3.2 Negative-Supervised Learning
3.3 Traffic Sign Classification
4 Experiments
4.1 Database and Negative Library
4.2 Training Convolutional Neural Networks
4.3 Experimental Results
5 Conclusion and Discussion
References
Saliency Detection Based on Non-uniform Quantification for RGB Channels and Weights for Lab Channels
1 Introduction
2 Non-uniform Quantification for RGB Channels
2.1 Visual Sensitivity Tests on RGB Channels
2.2 Theory Basis of the Visual Sensitivity Order
2.3 Non-uniform Quantification for RGB Channels
3 Computing the Weights for Lab Channels
4 Saliency Detection Algorithm Based on Non-uniform Quantification and Channel Weights
5 Experimental Results and Analysis
6 Conclusion
References
Edge-Based Unsupervised Evaluation of Image Segmentation
1 Introduction
2 Edge-Based Segmentation Evaluation
2.1 Symbols Definition
2.2 Related Work
Color-Based Segmentation Evaluation
Entropy-Based Segmentation Evaluation
2.3 The Edge-Based Evaluation Criteria
2.4 Edge-Based Evaluation Function
3 Experiments
3.1 Performance of Segmentation Evaluation
3.2 Region Evaluation Performance
4 Conclusions
References
An Adaptive Fuzzy Clustering Algorithm Based on Multi-threshold for Infrared Image Segmentation
1 Introduction
2 Adaptive Fuzzy Clustering Algorithm Based on Multi-threshold for Infrared Image Segmentation
2.1 Multi-threshold Pseudo-Peak Removal
2.2 Adaptive Fuzzy Clustering
2.3 Algorithm
3 Experimental Results and Analysis
4 Conclusions
References
Locally Linear Embedding Based Dynamic Texture Synthesis
1 Introduction
2 Appearance Model
3 Dynamic Model
4 Observation Model
5 Experiments
6 Conclusions
References
A Deep Joint Learning Approach for Age Invariant Face Verification
1 Introduction
2 Related Work
3 Deep Joint Metric Learning Framework
3.1 Optimization Objective
3.2 Deep Architecture
3.3 Learning Algorithm
4 Experiment
5 Conclusion
References
A New Similarity Measure for Non-local Means Denoising
1 Introduction
2 NLM Algorithm
3 Improved NLM Algorithm
3.1 Improved LBP Operator
3.2 Rotation-Invariant and Noise-Resistant Similarity Measurement
3.3 Automatic Selection of Similar Sets
4 Experiments and Discussion
5 Conclusion
References
Mixture Models for Object Detection
1 Introduction
2 Multiple Components Generation
3 Discovering Mid-level Part Models
3.1 Clustering
3.2 Training
3.3 Part Selecting
4 Experiments
5 Conclusion
References
An Image Forensic Technique Based on 2D Lighting Estimation Using Spherical Harmonic Frames
1 Introduction
2 Lighting Model Using Bases and Frames
3 Lighting Estimation
3.1 2D Information Extraction
4 Experiments
4.1 Synthetic Data
4.2 Real Images
4.3 Tampered Images
5 Conclusion
References
Class Relatedness Oriented Discriminative Dictionary Learning
1 Introduction
2 A Brief Review of the DDL Models
3 Main Results
3.1 Model Training
3.2 Model Testing
4 Experiments
4.1 Object Classification
4.2 Face Recognition
5 Conclusions
References
Building an Effective Template Dictionary for Robust Offline Video Tracking
1 Introduction
2 Sparse Representation for Visual Tracking
3 Proposed Tracking System
3.1 Template Dictionary Construction
Non-polluted Templates.
Variational Templates.
3.2 Two-Stage Sparse Optimization
3.3 Bi-tracking Process
3.4 Template Updating
4 Experimental Results
4.1 Different Dictionaries
4.2 Different Tracking Processes
4.3 Comparison with Other Tracking Algorithms
5 Conclusion
References
Learning Blur Invariant Face Descriptors for Face Verification Under Realistic Environment
1 Introduction
2 Blur Invariant Face Descriptor via Multiple Metric Learning
2.1 Proposed Framework
2.2 Multi-scale Absolute Phase Difference Feature
2.3 Fisher Kernel Encoding
2.4 Multiple Metric Learning
3 Experiment
3.1 Blurred FERET Face Dataset
3.2 Realistic Face Dataset
3.3 Parameter Analysis
3.4 Computational Efficiency
4 Conclusion
References
Modified Numerical Scheme for Perona-Malik Model in Image Restoration
1 Introduction
2 Nonlinear Diffusion in Image Restoration
2.1 Perona-Malik Model
2.2 Modified Numerical Scheme
2.3 Compatibility, Stability and Convergence
3 Numerical Comparison
4 Conclusion
References
Abnormal Event Detection Based on Multi-scale Markov Random Field
1 Introduction
2 Activity Representation
2.1 Features and the Corresponding Similarity
2.2 Model Acquisition and Maintenance
3 Abnormality Detection Based on Multi-scale MRF
3.1 Structure of Multi-scale MRF
3.2 Energy Function of the Multi-scale Markov Random Field
4 Experimental Results
4.1 Global Abnormal Event Detection
4.2 Subway Station Dataset
5 Conclusion
References
Light-Weight Spatial Distribution Embedding of Adjacent Features for Image Search
1 Introduction
2 Related Work
3 The Proposed Approach
3.1 Large-Scale Visual Dictionary Construction
3.2 Light-Weight Binary Code Embedding
3.3 Indexing and Retrieval
4 Experiments
4.1 Datasets
4.2 Evaluation on Image Search Performance
5 Conclusion
References
Cross-Level: A Practical Strategy for Convolutional Neural Networks Based Image Classification
1 Introduction
2 Related Work
3 Cross-Level
4 Experiments
5 Conclusion
References
Superpixel-Based Global Contrast Driven Saliency Detection in Low Contrast Images
1 Introduction
2 Proposed Algorithm
2.1 Superpixel Segmentation
2.2 Global Contrast Approach
2.3 Internal Similarity Measure
3 Experimental Results
4 Conclusions
References
Decoupled Marginal Distribution of Gradient Magnitude and Laplacian of Gaussian for Texture Classification
1 Introduction
1.1 Related Work
1.2 Contributions
2 Texture Classification Based on GM and LOG
2.1 Marginal Distributions of GM and LOG
2.2 Normalization of GM and LOG
2.3 Texture Image Representation and Classification
3 Classification Results and Analysis
3.1 Texture Datasets and Experiments Settings
3.2 Effect of the Normalization and Patch Size
3.3 Performance Comparison on the Three Datasets
4 Conclusions
References
MR Image Segmentation Using Active Contour Model Incorporated with Sobel Edge Detection
1 Introduction
2 An Edge Detection Model Based on Sobel Operator
3 Region-Based Active Contour Model Combines with Sobel Operater
4 The Distance Regularized Level Set Formulation of the Function
5 Experimental Result
6 Conclusion
Refeerences
Spatial-Temporal Feature Fusion for Human Fall Detection
1 Introduction
2 The Proposed Approach
2.1 Preprocessing
2.2 Spatial-Temporal Features
2.3 Feature Encoding
2.4 Classification and Fusion
3 Experimental Results
3.1 Dataset
3.2 Settings
3.3 Results
4 Conclusions
References
Color Image Segmentation Combining Rough Depth Information
1 Introduction
2 Algorithm
2.1 Preprocess
2.2 Adaptive Mean Shift Image Segmentation
2.3 Probability Boundary with Depth Discontinuities
2.4 Graph Cut Based on GMM Modeling
3 Experiments
4 Conclusion
References
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Computer Vision

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