Image Analysis and Processing - ICIAP 2015

Name: Image Analysis and Processing - ICIAP 2015 | 18th International Conference, Genoa, Italy, September 7-11, 2015, Proceedings, Part I
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18th International Conference, Genoa, Italy, September 7-11, 2015, Proceedings, Part I

Vittorio Murino Enrico Puppo(Editor)

Springer (Publisher)

Published on 20. August 2015

XXVI, 721 pages

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Content

Intro
Preface
Organization
Contents - Part I
Contents - Part II
Pattern Recognition and Machine Learning
Transfer Learning Through Greedy Subset Selection
1 Introduction
2 Related Work
3 Transfer Learning Through Subset Selection
4 Greedy Algorithm for k-Source Selection
5 Experiments
6 Conclusions
References
MEG: Multi-Expert Gender Classification from Face Images in a Demographics-Balanced Dataset
1 Introduction
2 The Pool of Experts
2.1 Score Generation by Likelihood Ratio (LR)
2.2 Score Generation by Support Vector Machines (SVM)
3 Fusion Strategies
4 The Image Dataset
5 Experiments and Results
6 Conclusions
References
An Edge-Based Matching Kernel Through Discrete-Time Quantum Walks
1 Introduction
2 Preliminary Concepts
2.1 Directed Line Graphs
2.2 Discrete-Time Quantum Walks
2.3 The Relation to Perron-Frobenius Operators
2.4 Depth-Based Representations Based on Quantum Walks
3 An Edge-Based Matching Kernel for Graphs
3.1 Edge-Based Matching Through Discrete-Time Quantum Walks
3.2 An Edge-Based Matching Kernel
4 Experimental Results
5 Conclusion
References
Implicit Boundary Learning for Connectomics
1 Introduction
2 Method
2.1 Finding Labels to Optimize Segmentation
2.2 Difference to Learn Membrane
3 Experiments and Results
4 Conclusion
References
A Parzen-Based Distance Between Probability Measures as an Alternative of Summary Statistics in Approximate Bayesian Computation
1 Introduction
2 Approximate Bayesian Computation Based on Kernel Embeddings
2.1 Short Summary on ABC Methods
2.2 Metrics between Probability Measures by Using Kernels
2.3 Kernel Embeddings as Summary Statistics for ABC
2.4 Extension to ABC SMC
3 Experimental Setup
3.1 Datasets
3.2 Validation
3.3 Procedure
4 Results and Discussion
4.1 Results from Synthetic Data
4.2 Results from Nonlinear Ecological Dynamic System
5 Conclusions
References
Unsupervised Classification of Raw Full-Waveform Airborne Lidar Data by Self Organizing Maps
1 Introduction
2 Methodology
3 Experiments and Results
4 Discussion and Conclusion
References
Fitting Multiple Models via Density Analysis in Tanimoto Space
1 Introduction
2 Method
2.1 Preference Trick
2.2 Density Based Analysis for Model Extraction
3 Experimental Evaluation
4 Conclusion
References
Bag of Graphs with Geometric Relationships Among Trajectories for Better Human Action Recognition
1 Introduction
2 Related Work
3 Trajectory Extraction
4 Description of the Proposed Approach
4.1 Extraction of the Graph Descriptors
4.2 Bag of Graphs
5 Experimental Study
5.1 Action Recognition Datasets
5.2 Results
6 Conclusion
References
Have a SNAK. Encoding Spatial Information with the Spatial Non-alignment Kernel
1 Introduction
2 Related Work
3 Spatial Non-Alignment Kernel
3.1 Translation and Size Invariance
4 Experiments
4.1 Data Sets Description
4.2 Implementation and Evaluation Procedure
4.3 Parameter Tuning
4.4 Pascal VOC Experiment
4.5 Birds Experiment
5 Conclusion and Future Work
References
Convolved Multi-output Gaussian Processes for Semi-Supervised Learning
1 Introduction
2 Multi-output Gaussian Processes
3 Semi-Supervised Learning for Multi-output GPs
3.1 Graph Regularization
3.2 The EM Algorithm
4 Experimental Setup
4.1 Databases
4.2 Procedure
5 Results and Discussion
6 Conclusions and Future Work
References
Volcano-Seismic Events Classification Using Document Classification Strategies
1 Introduction
2 The Proposed Approach
2.1 Dictionary Building
2.2 Event Description
2.3 From Documents to Feature Vectors
2.4 Document Classification
3 Experiments
3.1 Experimental Details
3.2 Results and Comparison with other Methods
3.3 Effect of the Parameters
3.4 Interpretability
4 Conclusions
References
Unsupervised Feature Selection by Graph Optimization
1 Introduction
2 A Brief Review of Graph-Based Unsupervised Feature Selection Methods
3 Unsupervised Feature Selection by Graph Optimization
4 Optimization Algorithm for Problem (5)
5 Experiments and Comparisons
6 Conclusion
References
Gait Recognition Robust to Speed Transition Using Mutual Subspace Method
1 Introduction
2 Gait Recognition Using Mutual Subspace Method
2.1 Mutual Subspace Method
2.2 Gait Recognition Using an Image Set-Based Matching
3 Experiments
3.1 Experimental Settings
Datasets.
Evaluation Setting.
3.2 Evaluation
4 Conclusions
References
Path-Based Dominant-Set Clustering
1 Introduction
2 Path-Based Dominant Sets
2.1 Dominant Set Clustering
2.2 Using Path-Based Similarity
3 Experiments
3.1 Synthetic Data Clustering
3.2 Experiments on Real-World Data
4 Conclusion
References
Global and Local Gaussian Process for Multioutput and Treed Data
1 Introduction
2 Materials and Methods
2.1 Gaussian Process
2.2 Multiple Output Gaussian Process
2.3 Global and Local Multi Output Treed GP
3 Results
3.1 Validation and Error Measures
3.2 Results over Simulated Data
3.3 Results over Real Data
4 Conclusions
References
BRISK Local Descriptors for Heavily Occluded Ball Recognition
1 Introduction
2 Ball Recognition Evaluation
2.1 Moving Object Segmentation
2.2 Circle Detection
2.3 Feature Extraction
2.4 Supervised Classifier
2.5 Experimental Setup
3 Experimental Results
4 Conclusion and Future Work
References
Neighborhood Selection for Dimensionality Reduction
1 Introduction
2 Algorithm
3 Experimental Results and Future Works
References
Crowdsearching Training Sets for Image Classification
1 Introduction
2 State of the Art
3 Proposed Methodology
4 Experiments and Results
4.1 Comparison Against the Semantic Trainer
4.2 Generalization Capability
4.3 Comparison against OPTIMOL
5 Conclusion
References
The Color of Smiling: Computational Synaesthesia of Facial Expressions
1 Introduction
2 Background and Rationales
3 Methods
4 From Face Expression to Mood
5 The Color of Mood
6 Conclusion and Further Outlooks
References
Learning Texture Image Prior for Super Resolution Using Restricted Boltzmann Machine
1 Introduction
2 Learning Texture Image Prior
2.1 Modeling Individual Texture with the RBM
2.2 Implicit Mixture Modeling for Multiple Textures
3 A MAP Framework for Super Resolution
3.1 Image Formation Modeling
3.2 Embedding Multiple Texture Prior in the MAP Framework
4 Experiment
4.1 Dataset and Learning cRBM
4.2 Multiple Texture Super Resolution
5 Conclusion
References
GRUNTS: Graph Representation for UNsupervised Temporal Segmentation
1 Introduction
2 Graph Representation
2.1 Skeleton
2.2 Polygonal Approximation
2.3 Building the Graph
3 The Frame Kernel Matrix
4 Aligned Cluster Analysis (ACA)
5 The GRUNTS Algorithm
6 Experiments
6.1 Weizmann Dataset
6.2 KTH Dataset
6.3 MSR Action3D Dataset
7 Conclusions
References
A Strict Pyramidal Deep Neural Network for Action Recognition
1 Introduction
2 3DPyraNet
2.1 PyraNet
2.2 Weighting Scheme
2.3 Proposed Architecture
3 Results and Discussion
4 Conclusions
References
Nerve Localization by Machine Learning Framework with New Feature Selection Algorithm
1 Introduction
2 Nerve Detection System
2.1 Pre-processing
2.2 Feature Extraction
2.3 Feature Selection
2.4 Proposed Feature Selection Algorithm
2.5 Classification
3 Experiment Results
4 Conclusion
References
Human Tracking Using a Top-Down and Knowledge Based Approach
1 Introduction
2 Top-Down Approach
3 Knowledge Related to Tracking
3.1 Scene Knowledge
3.2 Human Trajectories Knowledge
3.3 From Knowledge to Model
4 Preliminary Results and Discussions
5 Conclusion and Future Directions
References
Shape Analysis and 3D Computer Vision
Fuzzy ``Along'' Spatial Relation in 3D. Application to Anatomical Structures in Maxillofacial CBCT
1 Introduction
2 General Approach to Define ``Along''
3 Inter-Objects Region
4 Elongation Measure
4.1 Common Definition
4.2 Alongness Degree Based on Object Boundaries
4.3 Including Distance Information
4.4 Using Distance to Take into Account Only Close Parts
5 Extension to Fuzzy Objects
6 Experimental Results
7 Conclusion
References
Compression and Querying of Arbitrary Geodesic Distances
1 Introduction
2 Related Work
3 Algorithm
3.1 Patch Subdivision
3.2 Geodesic Precomputation
3.3 Graph Pruning
3.4 Query Step
4 Results
4.1 Parameters Tuning
4.2 Preprocessing Time
4.3 Speedup and Comparisons
5 Conclusions
References
Comparing Persistence Diagrams Through Complex Vectors
1 Introduction
2 Preliminaries
3 Persistence Diagrams vs Complex Vectors
4 Experimental Results
References
Pop-up Modelling of Hazy Scenes
1 Introduction
2 Related Work
2.1 Interactive 3D Modelling
2.2 Automatic 3D Modelling
3 Model Construction
3.1 Dehazing
3.2 Clustering and Plane-fitting
3.3 Inpainting
3.4 Edge Blending
4 Results
4.1 Evaluation
5 Conclusions
References
3D Geometric Analysis of Tubular Objects Based on Surface Normal Accumulation
1 Introduction
2 Fast and Simple Centerline Extraction on 3D Tubular Object
2.1 Accumulation Images from Normal Vectors
2.2 Centerline Tracking from Image Accumulation
2.3 Skeleton Position Optimization
3 Reconstruction Results and Geometric Analysis
4 Conclusion and Discussion
References
Tongue in Cheek
1 Introduction
2 Shape in Image Processing and Computer Graphics
3 Shape in Other Fields
4 The Shape of the Tongue
4.1 Speech Production
4.2 Instrumentation
4.3 Patterns of Tongue Movement
4.4 A Modest Proposal for Imaging and Image Processing of Tongue Motion
5 Conclusion
References
Where Is the Ground? Quality Measures for the Planar Digital Terrain Model in Terrestrial Laser Scanning
1 Introduction
2 Data
3 Method
3.1 Quality Measures Proposed
3.2 Assessment
4 Results and Discussion
5 Conclusions
References
Extending the sGLOH Descriptor
1 Introduction
2 sGLOH Description
3 The sGLOH2 Extension
4 Evaluation
5 Running Time
6 Conclusions and Future Work
References
Fast Superpixel-Based Hierarchical Approach to Image Segmentation
1 Introduction
2 The Proposed Technique
2.1 Region Distance Metrics
3 Complexity
4 Performance Evaluation
4.1 Metrics
4.2 Results
5 Conclusions
References
Supertetras: A Superpixel Analog for Tetrahedral Mesh Oversegmentation
1 Introduction
2 Related Work
2.1 Superpixels in Image Processing
2.2 Tetrahedral Domain
3 Algorithm
3.1 Distance Metric
3.2 Notes on Time and Space Complexity
4 Results
4.1 Enabling Normalized Cuts on Large Datasets
5 Future Work
References
Extraction of Successive Patterns in Document Images by a New Concept Based on Force Histogram and Thick Discrete Lines
1 Introduction
2 Main Frameworks
2.1 Force Histogram Background
2.2 Discrete Line Background
2.3 Overall System Description
3 Extraction of Successive Patterns
3.1 Model Hypotheses
3.2 Kernel Pattern Definition
3.3 Optimal Bounding Mask Area
3.4 Kernel Propagation
4 Experimental Results
4.1 Setting
4.2 Simple Case: Disconnected Patterns
4.3 Complex Cases: Occulted Patterns and Symmetry
4.4 Discussion About Limitations
5 Conclusion
References
Hierarchical Mesh Segmentation Editing Through Rotation Operations
1 Introduction
2 Related Work
3 Update Operators
4 Implementation and Preliminary Results
4.1 Hierarchy Update Based on an Input Function
4.2 Hierarchy Update Based on an Input Segmentation
5 Conclusions
Local Feature Extraction in Log-Polar Images
1 Introduction
2 Log-Polar Mapping
3 Feature Detection in the Log-Polar Domain
3.1 Direct Feature Detection in the Log-Polar Domain
3.2 Feature Detection Based on Embedded Processing in the Log-Polar Transform
4 Results
5 Conclusion
References
Scale-Space Techniques for Fiducial Points Extraction from 3D Faces
1 Introduction
2 Extraction of Morphological Features
2.1 Precomputation Phase
2.2 Identification of Fiducial Points
3 Experiments and Results
4 Conclusions
References
Filtering Non-Significant Quench Points Using Collision Impact in Grassfire Propagation
1 Introduction
2 Theory and Algorithms
2.1 Collision Impact and Its Relations with Skeletal Features
2.3 The Filtering Algorithm for Noisy Quench Voxels
3 Experiments and Results
4 Conclusions
References
Robust and Efficient Camera Motion Synchronization via Matrix Decomposition
1 Introduction
1.1 Overview
2 Rotation Synchronization
2.1 The R-GoDec Algorithm
2.2 Robust Rotation Synchronization
3 Translation Synchronization
3.1 Refining the Relative Translation Directions
3.2 A Fast Spectral Method
4 Experiments
5 Conclusion
References
Novel View-Synthesis from Multiple Sources for Conversion to 3DS
1 Introduction
2 Background
2.1 Planar Parallax
2.2 Uncalibrated Motion Description
3 Proposed Method
3.1 Virtual Camera Orientation
3.2 Stereo Processing
3.3 Forward Mapping of Parallax Maps
3.4 Merging of Parallax Maps
3.5 Backward Mapping of Colour
4 Experiments
5 Conclusions
References
Dynamic Optimal Path Selection for 3D Triangulation with Multiple Cameras
1 Introduction
2 General Scenario and Main Contributions
3 Game-Theoretical Optimal Path Selection
3.1 Hypotheses
3.2 Payoff
3.3 Evolution
4 Experimental Evaluation
5 Conclusions and Future Work
References
Smartphone-Based Obstacle Detection for the Visually Impaired
1 Introduction
2 Related Work
3 Method Description
3.1 Scene Reconstruction
3.2 Obstacle Detection
4 Evaluation
5 Conclusions and Future Work
References
Efficient Moving Point Handling for Incremental 3D Manifold Reconstruction
1 Introduction
2 Manifold Reconstruction
2.1 Incremental Manifold Extraction with Tetrahedra Weighting
3 Reconstructing a Manifold with Moving Points
3.1 The Straightforward Approach
3.2 The Efficient Approach
4 Experimental Validation
5 Conclusion and Future Work
Volumetric 3D Reconstruction and Parametric Shape Modeling from RGB-D Sequences
1 Introduction
2 Methodology
2.1 Motion Estimation
2.2 Model Reconstruction
2.3 Fruit Segmentation
2.4 Parametric Fruit Modeling
3 Experimental Evaluation
3.1 Experimental Methods
3.2 Results
4 Conclusion
References
Biomedical Applications
Efficient Resolution Enhancement Algorithm for Compressive Sensing Magnetic Resonance Image Reconstruction
1 Introduction
2 Sparsity of MRI Reconstruction
3 Sparsity-Based HR MRI Reconstruction
4 Simulation
4.1 Setup
4.2 Simulation Results
4.3 Visual Comparisons
4.4 Objective Results
5 Conclusion
References
Towards Accurate Segmentation of Fibroglandular Tissue in Breast MRI Using Fuzzy C-Means and Skin-Folds Removal
1 Introduction
2 Material and Method
2.1 Material
2.2 Method
3 Evaluation
4 Conclusion and Future Works
References
Robust and Fast Vessel Segmentation via Gaussian Derivatives in Orientation Scores
1 Introduction
2 Theory
2.1 Invertible Orientation Scores on SE(2)
2.2 Left-Invariant Gaussian Derivatives on Orientation Scores
2.3 Scale-Invariant Matched Filters
3 Validation and Experimental Results
3.1 Settings
3.2 Difficult Structures Preservation
3.3 Validation of Vessel Calibers
3.4 Comparison with the State-of-the-Art
3.5 Speed Comparison
4 Conclusion
References
Information-Based Cost Function for a Bayesian MRI Segmentation Framework
1 Introduction
2 Materials and Methods
2.1 Information-Based Cost Function
2.2 Optimization Framework
3 Experimental Setup
3.1 Image Database Description
3.2 Evaluation of Performed Segmentation
4 Concluding Remarks
References
Learning by Sampling for White Blood Cells Segmentation
1 Introduction
2 Background and Related Works
3 On Mean Shift Technique
4 SVM for Segmentation
5 System Implementation
5.1 First Step
5.2 Second Step
5.3 Third Step
6 Conclusions
References
Fully Automatic Brain Tumor Segmentation by Using Competitive EM and Graph Cut
1 Introduction
2 Theoretical Background
2.1 Graph Cut
2.2 CEM Algorithm
2.3 Graph Cut Initialisation through CEM Algorithm
2.4 CEM-Graph Cut for Multicentric Brain Tumor Segmentation
3 Experimental Results
3.1 Evaluation Metrics
3.2 Experiments Performed on the In-House Collected Dataset
3.3 Experiments Performed on the MICCAI BRATS Public Dataset
3.4 Comparison Analysis
4 Conclusions
References
An Automatic Method for Metabolic Evaluation of Gamma Knife Treatments
1 Introduction
2 Related Works
3 Materials and Methods
3.1 Phantom Studies
3.2 Clinical Study
3.3 Automatic Segmentation
3.4 Evaluation
4 Experimental Results
4.1 Trials and Results on Phantoms
4.2 Trials and Results on the Clinical study
5 Discussions and Future Works
References
Spinal Canal and Spinal Marrow Segmentation by Means of the Hough Transform of Special Classes of Curves
1 Introduction
2 Background Material and Methods
2.1 Curve with 3 Convexities
3 Applications
4 Conclusions
References
A New Graph-Based Method for Automatic Segmentation
1 Introduction
2 The Proposed Method
2.1 Graph Notations
2.2 Proposed Cost Function and Algorithm
2.3 Graph Cut
3 The Application Case
4 Quantitative Evaluation
5 Conclusions
References
Color Spaces in Data Fusion of Multi-temporal Images
1 Introduction
2 Color Space and Metrics
2.1 Color Space
2.2 Color Metrics
3 The Proposed Method
3.1 Triphasic CT of the Liver
3.2 Color Fusion
4 Experimental Results
5 Conclusions
References
TRAgen: A Tool for Generation of Synthetic Time-Lapse Image Sequences of Living Cells
1 Introduction
1.1 Current Approaches to Analysis of Tracking Performance
1.2 Background on Biomedical Image Simulation
1.3 Contribution of This Paper
2 Method
2.1 Cell Motion
2.2 Cell Shape Changes
3 Results
3.1 Case Study: Comparison Against Real Annotated Data
4 Conclusion
References
Automatic Image Analysis and Classification for Urinary Bacteria Infection Screening
1 Introduction
2 Automatic Image Analysis of Petri Plates
2.1 Selection of the Chromatic Space
2.2 Background Removal
3 Classification
4 Colony Detection and Bacterial Count
5 Conclusions
References
LBP-TOP for Volume Lesion Classification in Breast DCE-MRI
1 Introduction
2 Related Work
3 Materials and Methods
3.1 The Proposed Approach
3.2 LBP Feature
3.3 ROI Classification
3.4 Validation
4 Experimental Results
5 Discussion and Conclusion
References
Kernel Centered Alignment Supervised Metric for Multi-Atlas Segmentation
1 Introduction
2 Materials and Methods
2.1 Image Similarity Metrics
2.2 Spatial Enhancement of Image Metrics
2.3 Supervised Image Metric Learning
3 Experimental Setup
3.1 Database and Image Preprocessing
3.2 Metric Parameter Learning
3.3 Similarity Metric Evaluation
4 Discussion and Concluding Remarks
References
Multimedia
Emotions in Abstract Art: Does Texture Matter?
1 Introduction
2 Related Work
3 Texture Analysis
3.1 MART Dataset: A Dataset of Abstract Paintings
3.2 User Study for Assessing Feelings Induced by Abstract Paintings
3.3 Inverse Perlin Parametrization
3.4 Coloured vs. Gray-Scale Images
4 Visual Attention and Emotional Content
5 Classifying Positive and Negative Images
6 Conclusions
References
Movie Genre Classification by Exploiting MEG Brain Signals
1 Introduction
2 State of the Art
3 MEG Signal Analysis
3.1 Dataset
3.2 MEG Feature Extraction
3.3 Multimedia Content Feature Extraction
3.4 Annotating Movie Genres
3.5 Correlation Analysis
3.6 Classification Procedure
4 Results and Discussion
4.1 Correlation Results
4.2 Classification Results
5 Conclusions
References
Egocentric Video Personalization in Cultural Experiences Scenarios
1 Introduction and Related Work
2 Video Personalization
3 VAEX System: A Web Tool for Egocentric Video Personalization
4 Experimental Results
4.1 Behavior Pattern Detection
4.2 Participants and Experiments
5 Conclusions
References
Advanced Content Based Image Retrieval for Fashion
1 Introduction
2 Learning a Proper Distance for Histogram
3 Proposed Pipeline
4 Experiments and Results
5 Conclusion
References
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Image Analysis and Processing - ICIAP 2015

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