Computer Analysis of Images and Patterns

Name: Computer Analysis of Images and Patterns | 14th International Conference, CAIP 2011, Seville, Spain, August 29-31, 2011, Proceedings, Part I
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14th International Conference, CAIP 2011, Seville, Spain, August 29-31, 2011, Proceedings, Part I

Ainhoa Berciano Daniel Díaz-Pernil Walter Kropatsch Helena Molina-Abril Pedro Real(Editor)

Springer (Publisher)

Published on 19. August 2011

XXIV, 611 pages

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978-3-642-23672-3 (ISBN)

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Content

Title
Preface
CAIP 2011 Organization
Table of Contents
Invited Lecture
A Historical Survey of Geometric Computer Vision
3D Modeling from Perspectives
``Hardware''
Epipolar and Multi-view Geometry
Projective Reconstruction
Self-calibration
Orientation Procedures - Structure-from-Motion
Special Cases of 3D Modeling
Conclusion
References
Motion Analysis
Detection Human Motion with Heel Strikes for Surveillance Analysis
Introduction
Key Frame Calculation
Gait Trajectory Model Construction
Key Frame Selection
Heel Strike Detection
Heel Strike Candidate Extraction
Heel Strike Position Verification
Experimental Results
Conclusions
References
Detecting Customers' Buying Events on a Real-Life Database
Introduction
Related Work
Proposed Methodology
Trajectory Extraction
Trajectory Analysis
Stationary Segments Detector
Human Body Area Extraction
Motion Analysis
Classification
Experimental Results
Data Acquisition
Experiments
Conclusion and Future Work
References
Image and Shape Models
A Simplified Gravitational Model for Texture Analysis
Introduction
Texture Analysis and Simplified Gravitational System
Signature for Collapsing Texture Patterns
Experiment
Results
Conclusion
References
Robustness and Modularity of 2-Dimensional Size Functions - An Experimental Study
Introduction
1-Dimensional Size Functions
2-Dimensional Size Functions
Experimental Results
Conclusions
References
A Homological-Based Description of Subdivided nD Objects
Introduction
Preliminaries
Integral-Chain Complexes
Homological Spanning Forest Representation
Implementation and Experiments
Conclusions
References
Statistical Shape Model of Legendre Moments with Active Contour Evolution for Shape Detection and Segmentation
Introduction
Theory
Statistical Shape Model of Legendre Moments
Level Set Active Contour Model
Energy Function
Optimization
Experimental Results
Conclusions
References
Segmentation and Grouping
Efficient Image Segmentation Using Weighted Pseudo-Elastica
Introduction
Second-Order Energies for Active Contours
Efficient Approximation of Global Minimisers
Open Contours with Directional Constraints in One Endpoint
Open Contours with Directional Constraints in Both Endpoints
Application to Image Segmentation
Experimental Results
Conclusion
References
Automatic Conic and Line Grouping for Calibration of Central Catadioptric Camera
Introduction
Method
Calibration Using One Set of Parallel Lines That Is Orthogonal to the Mirror Axis
Improving Calibration Efficiency Using a Set of Parallel Lines Coplanar with the Mirror Axis
Simultaneous Conic Detection and Grouping
Experiment Results
Calibration with Simulated Data
Calibration with Real Data
Summary
References
Color Histogram-Based Image Segmentation
Introduction
Preliminaries
The Algorithm
Experimental Results
Concluding Remarks
References
Arc Segmentation in Linear Time
Introduction
Discrete Circle and Blurred Segment
Arc Representation in Tangent Space
Arc Segmentation
Quasi Collinearity Property of Midpoint Curve
Conclusions
References
Multi-cue-Based Crowd Segmentation in Stereo Vision
Introduction
System Overview
Initialization
Scores and Disparity Calculation
Removal and Merge
Evaluations and Results
Conclusions
References
Semantic Segmentation of Microscopic Images Using a Morphological Hierarchy
Introduction
State of the Art
Aim of the Study
Lumens Segmentation
Building the Morphological Hierarchy
Lumen Reconstruction
Crypt's Outer Border
Lumen Validation
Outer Border Detection
Results
Conclusions
References
Normalized Joint Mutual Information Measure for Image Segmentation Evaluation with Multiple Ground-Truth Images
Introduction
Normalized Joint Mutual Information for Segmentation Evaluation with Multiple Ground-Truth Images
Normalized Mutual Information for Binary Clusterings Comparison
Normalized Joint Mutual Information for Multiple Ground-Truth Segmentations
Joint Mutual Information and Multi-information
Experiment
Conclusion
References
Alternating Scheme for Supervised Parameter Learning with Application to Image Segmentation
Introduction
Alternating Scheme for Supervised Parameter Learning
Comparison of Supervised Parameter Learning Methods
Experiments
Experimental Settings
Results
Conclusion
References
Laser Line Segmentation with Dynamic Line Models
Introduction
Detection of Laser Lines
Model Based Segmentation of Laser Lines
Mass-Spring Model
Snakes
Intensity Sensor
Model Generation
Experimental Results
Comparison of Mass-Spring Model and Snakes
Further Developments
Conclusion
References
A Convex Active Contour Region-Based Model for Image Segmentation
Introduction
Background
Our Model and Implementation
Experimental Results
Conclusion
References
Probabilistic Atlas Based Segmentation Using Affine Moment Descriptors and Graph-Cuts
Introduction
Linear Registration Using Affine Moment Descriptors
Construction of the Probabilistic Atlas
Appearance Prior Modeling
Shape Prior Modeling
Image Segmentation Strategy
Validation, Experiments and Results
Conclusion
References
Shape Recovery
Error Bounds on the Reconstruction of Binary Images from Low Resolution Scans
Introduction
Notation and Concepts
Error Bounds
Experiments and Results
Outlook and Conclusions
References
Tetrahedral Meshing of Volumetric Medical Images Respecting Image Edges
Introduction
Delaunay-Based Vector Segmentation
Iterative Mesh Adaptation
Mesh Segmentation
Experimental Results
Surface Accuracy
Mesh Segmentation
Conclusions
References
Measuring Shape Ellipticity
Introduction
Preliminaries
Main Result
Experiments
Conclusion
References
Robust Shape and Polarisation Estimation Using Blind Source Separation
Introduction
Polarisation Estimation
Shape Estimation
Iteration Process
Experiments
Conclusion
References
Graph-Based Methods and Representations
Hierarchical Representation of Discrete Data on Graphs
Introduction
Graph Total Variation
Definitions
Minimization
Hierarchical Representation
TV as a Tool for Graph Partitioning
Graph Coarsening
Recursive Construction of the Hierarchy
Experiments and Conclusion
References
From Points to Nodes: Inverse Graph Embedding through a Lagrangian Formulation
Introduction
A Lagrangian Method for Inverse Embedding
Problem Formulation
Deterministic Annealing Algorithm
Conclusions
References
K-nn Queries in Graph Databases Using M-Trees
Introduction and Related Work
Graph Preliminaries
K-nn Queries Based on m-Trees
Graph Metric Trees
Graph Metric Tree Routing Nodes
Computation of a Graph Metric Tree
Evaluation
Conclusions and Further Work
References
User-Steered Image Segmentation Using Live Markers
Introduction
Image Foresting Transform
Live Markers
Segmentation by Live-Wire-on-the-Fly
Combination of Live-Wire-on-the-Fly with DIFT-SC
Object Extraction by DIFT-SC
Experiments and Conclusions
References
Kernelising the Ihara Zeta Function
Introduction
The Ihara Zeta Function
The Coefficients of Reciprocal of Ihara Zeta Function
Graph Kernel
Experiment
Conclusion
References
A Hypergraph-Based Approach to Feature Selection
Introduction
Hypergraph Clustering Algorithm
Feature Selection Using Hypergraph Clustering
Experiments and Comparisons
Conclusions
References
Curves, Surfaces and Objects beyond 2 Dimensions
Hypersurface Fitting via Jacobian Nonlinear PCA on Riemannian Space
Introduction
Jacobian NLPCA
The Metric of Input Space and Feature Space
Linear Fitting in the Feature Space
Algorithm
Euclideanization of Metric as an Initial Value
Quadratic Curve Fitting on Plane
Rhumb Line Fitting on 2-Dimensional Sphere
Conclusion
References
A Robust Approach to Multi-feature Based Mesh Segmentation Using Adaptive Density Estimation
Introduction
Related Work
Propabilistic Model and Density Estimation
Features
Segmentation Scheme
Evaluation
Conclusion
References
Shape Description by Bending Invariant Moments
Introduction
Bending Invariant Moments
Implementation Details
Experiments
Conclusions
References
Fast Shape Re-ranking with Neighborhood Induced Similarity Measure
Introduction
Problem Formulation
Proposed Neighborhood Induced Similarity Approach
Experimental Results
Conclusions and Future Work
References
Dynamic Radial Contour Extraction by Splitting Homogeneous Areas
Introduction
Homogeneity Splitting
Radial Contour Extraction
Experiments
Discussion
Appendix: Proof of Theorem 1
References
Robust Hyperplane Fitting Based on k-th Power Deviation and a-Quantile
Introduction
Hyperplane Fitting by Least k-th Power Deviations of Euclidean Distances
Random Sampling Approximation
Experiments
Conclusion
References
Geo-topological Analysis of Images
Incremental-Decremental Algorithm for Computing AT-Models and Persistent Homology
Introduction
Background
AT-Model
Algorithms for Computing AT-Models
Incremental-Decremental Algorithm for Computing AT-Models and Persistent Homology
Future Work
References
Persistent Betti Numbers for a Noise Tolerant Shape-Based Approach to Image Retrieval
Introduction
Preliminaries on PBNs
Stability of PBNs with Respect to Noisy Domains
Comparison of Sets
Stability with Respect to Hausdorff Distance
Stability with Respect to the Symmetric Difference Pseudo-Distance
Experimental Results
References
A Spanning Tree-Based Human Activity Prediction System Using Life Logs from Depth Silhouette-Based Human Activity Recognition
Introduction
Depth Silhouette-Based Human Activity Recognition
Generation of a Life-Log from Depth Silhouette-Based HAR System
Spanning Tree-Based Human Activity Prediction
Experiments and Results
Conclusion
References
Characterizing Obstacle-Avoiding Paths Using Cohomology Theory
Introduction
Problem Formulation
Representing Spaces with Holes
Cohomology Theory
Path Characterization Using Signatures
Computing the Signature of a Path
Conclusions
References
MAESTRO: Making Art-Enabled Sketches through Randomized Operations
Introduction
Curve Randomization in CCD
Results and Conclusion
References
Kernel Methods
Improved Working Set Selection for LaRank
Introduction
Multi-class SVMs
Crammer-Singer Type Multi-class SVMs
Epoch-Based Crammer-Singer Solvers
Experiments
Results and Discussion
Conclusions
References
Multi-task Learning via Non-sparse Multiple Kernel Learning
Introduction
Related Work
Multi-task Learning via MKL
Multiple Kernel Learning
Multi-task Learning
Experimental Results
Experimental Setup
Performance Comparison
Interactions between Object Categories
Ranking of Images
Conclusions
References
Multiple Random Subset-Kernel Learning
Introduction
Multiple Random Subset-Kernel Learning Algorithm
Learning Algorithms Using a Subset of Training Samples
Subset Sampling and Training Procedure for MRSKL
Experiment
Experimental Data
A Single-Pair Subset-Kernel
Result for Benchmark Set
Conclusion
References
Getting Robust Observation for Single Object Tracking: A Statistical Kernel-Based Approach
Introduction
Statistical Kernel-Based Observation (SKBO)
Generate Points of Interest
Generate Possible Patches
Patch Matching
Position Smoothing
Results and Discussion
Conclusion
References
Image and Video Indexing and Database Retrieval
Visual Words on Baggage X-Ray Images
Introduction
Related Work
Method
Experiments
Results
Conclusion
References
Image Re-ranking and Rank Aggregation Based on Similarity of Ranked Lists
Introduction
The RL-Sim Re-ranking Algorithm
Measuring Similarity between Ranked Lists
The Rank Aggregation Algorithm
Experimental Evaluation
Impact of Parameters
Experiments Considering CBIR Tasks
Conclusions
References
A Cartography of Spatial Relationships in a Symbolic Image Database
Introduction
A Public Annotated Image Database: LabelMe
Unary Relationships
Binary Relationships
Conclusion
References
Object Detection and Recognition
Multi-class Object Detection with Hough Forests Using Local Histograms of Visual Words
Introduction
Related Work
Multi-class Hough Forests
Local Features
Random Forest Construction
Hough Voting and Local Maxima Detection
Experiments
Conclusions
References
Graph Clustering Using the Jensen-Shannon Kernel
Introduction
Jensen-Shannon Kernel
Jensen-Shannon Graph Kernel
Node Degree Distribution
Graph Product
Jensen-Shannon Graph Kernel Graph Kernel
Experiments
Graph Characterization
Stability Evaluation
Conclusions
References
CSS-AFFN: A Dataset Representation Model for Active Recognition Systems
Introduction
Object Model Representation
ASSN Descriptor
Experimentation
Final Discussions and Conclusions
References
PCA Enhanced Training Data for Adaboost
Introduction
Foundations
AdaBoost
PCA-Learning
Training Data Enhancement
Margin Analysis
Training Data Adaption
Experiments
Experiments with the AT&T Database
Experiments with the Cell Database
Conclusion
References
Psychophysically Inspired Bayesian Occlusion Model to Recognize Occluded Faces
Introduction
Related Work
Formulation of PIBOM from the Facial Domain
Experimental Results and Discussions
Conclusion and Future Work
References
Unsupervised Feature Selection and Category Formation for Generic Object Recognition
Introduction
Proposed Method
Selected Feature Points with OC-SVMs
Creating Visual Words with SOMs
Generating of Labels with ART-2
Creating Category Maps with CPNs
Experimental Results Obtained Using the Caltech-256 Dataset
Category Formation Results
Recognition Accuracy
Conclusion
References
Object Recognition with the HOSVD of the Multi-model Space-Variant Pattern Tensors
Introduction
Multiple Spatial Log-Polar Models
Object Recognition with the Higher-Order Singular Value Decomposition and Multiple Log-Polar Models
Basic Concepts of Tensor Algebra
Pattern Recognition with the Deformable Prototype Tensor
Experimental Results
Conclusions
References
Precise Eye Detection Using Discriminating HOG Features
Introduction
HOG Features
DHOG Features
Experiments
Conclusion
References
Medical Imaging
Detection of Retinal Vascular Bifurcations by Trainable V4-Like Filters
Introduction
Proposed Method
Overview
Orientation-Selective Sub-units Based on Gabor Filters
Sub-unit Parameters
Sub-unit Response
Filter Response
Experimental Results
Discussion and Conclusion
References
A Method for Identification and Visualization of Histological Image Structures Relevant to the Cancer Patient Conditions
Introduction
Materials and Methods
Results
Conclusions
References
A Diffeomorphic Matching Based Characterization of the Pelvic Organ Dynamics
Introduction
Organ Dynamics Characterization
Large Deformation Diffeomorphic Metric Mapping
Inter-Sequence Matching
Intra-sequence Matching
Results and Discussion
Inter-subject Analysis
Organ Parcellation
Conclusion
References
Histogram-Based Optical Flow for Functional Imaging in Echocardiography
Introduction
Motivation
Optical Flow and Constancy Constraints
Speckle Noise
Local Cumulative Histograms
Histogram-Based Optical Flow Method
Histogram Constancy Constraint
Energy Functional
Numerical Discretization
Implementation
Results
Software Phantom
2D Ultrasound B-Mode Images
3D Echocardiographic Data
Discussion
References
No-reference Quality Metrics for Eye Fundus Imaging
Introduction
No-reference Metrics
Experimental Details
Fundus Auto-focusing
Fundus Image Quality Assessment
Conclusions
References
Adaptive Medical Image Denoising Using Support Vector Regression
Introduction
An Overview of Support Vector Regression
Proposed Denoising Method
Denoising Machine
Principle of Operation of the Denoising Machine
Experimental Results
Conclusion
References
Data-Driven Cortex Segmentation in Reconstructed Fetal MRI by Using Structural Constraints
Introduction
Method
Topological K-Means Clustering
Proposed Segmentation Algorithm
Experiments and Results
Material and Experimental Settings
Validation
Conclusion
References
Evaluation of Facial Reconstructive Surgery on Patients with Facial Palsy Using Optical Strain
Introduction
Background
Optical Flow
Optical Strain
Experiment
Optical Flow and Tracking
Optical Strain Maps
Conclusions
References
Inferring the Performance of Medical Imaging Algorithms
Introduction
Inference Model
Regression Model
Prediction Model
Results
Conclusions and Future Work
References
Glaucoma Classification Based on Histogram Analysis of Diffusion Tensor Imaging Measures in the Optic Radiation
Introduction
Classification System
Diffusion Tensor Imaging
Optic Radiation Segmentation
Region of Interest Selection
Histogram Analysis and Feature Extraction
Feature Selection and Classification
Results
Discussion and Conclusion
References
Textural Classification of Abdominal Aortic Aneurysm after Endovascular Repair: Preliminary Results
Introduction
Texture Analysis
Materials and Methods
Dataset
Segmentation Process
Texture Analysis - Feature Extraction
Classification
Results
Conclusions
References
Deformable Registration for Geometric Distortion Correction of Diffusion Tensor Imaging
Introduction
Materials and Methods
Image Data
Deformable Registration
Experimental Setup
Setup of Distortion Correction Method
Setup of Method Validation
Results
Visualization of Results in 2D
Visualization of Results in 3D
Discussions and Conclusions
References
Automatic Localization and Quantification of Intracranial Aneurysms
Introduction
Methods
Centerlines Extraction
Automatic Detection of the Aneurysm
Aneurysm Quantification
Localization of the Aneurysm
Results
Conclusion and Future Work
References
Structural Pattern Recognition
A New Ensemble-Based Cascaded Framework for Multiclass Training with Simple Weak Learners
Introduction
Multiclass Cascade Learning
Experiments
Conclusion
References
Mutual Information Based Gesture Recognition
Introduction
Recognition Problem
Recognition Using Mutual Information
Pre-processing
Mutual Information Analysis
Experimentation and Results
Ideal Data Recognition
User Data
Additional Noise
Discussion and Conclusions
Further Work
References
Logitboost Extension for Early Classification of Sequences
Introduction
Background
Adaboost and Earlyboost
Logitboost
Logitboost Extensions for Early Classification
Binary Logitboost for Early Classification
Multi-class Logitboost for Early Classification
Experiments
Settings
Results
Conclusion
References
Determining the Cause of Negative Dissimilarity Eigenvalues
Introduction
Characterising the Causes of non-Euclidean Data
The Causes of non-Euclidean Data
Negative Spectrum
Non-metricity
Object's Contribution to the non-Euclidean Behaviour of Dissimilarities
Experiments
Conclusion
References
Robust Model-Based Detection of Gable Roofs in Very-High-Resolution Aerial Images
Introduction
Algorithm Description
Preprocessing
Roof-Ridge Hypothesis Generation
Roof Gutter Position Estimation
Roof Analysis
Detection Merging
Experiments and Results
Dataset Description and Test Setup
Results
Conclusions and Future Work
References
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Computer Analysis of Images and Patterns

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