Computer Vision - ACCV 2010
10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010, Revised Selected Papers, Part III
Erschienen am 17. Februar 2011
XXI, 790 Seiten
978-3-642-19318-7 (ISBN)
Beschreibung
The four-volume set LNCS 6492-6495 constitutes the thoroughly refereed post-proceedings of the 10th Asian Conference on Computer Vision, ACCV 2009, held in Queenstown, New Zealand in November 2010.
All together the four volumes present 206 revised papers selected from a total of 739 Submissions. All current issues in computer vision are addressed ranging from algorithms that attempt to automatically understand the content of images, optical methods coupled with computational techniques that enhance and improve images,
and capturing and analyzing the world's geometry while preparing the higher level image and shape understanding. Novel gemometry techniques, statistical learning methods, and modern algebraic procedures are dealt with as well.
Weitere Details
Weitere Ausgaben
Andere Ausgaben
Reinhard Klette | Ron Kimmel | Akihiro Sugimoto
Computer Vision - ACCV 2010
10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010, Revised Selected Papers, Part III
Buch
03/2011
Springer
106,99 €
Versand in 7-9 Tagen
Inhalt
- Title
- Preface
- Organization
- Table of Contents
- Posters on Day 2 of ACCV 2010
- Approximate and SQP Two View Triangulation
- Introduction
- Optimal Triangulation
- Approximate Triangulation
- Theoretical Performance Bounds
- Local SQP Correction
- Empirical Performance Evaluation
- Simulation Setup
- Simulation Results
- Computational Efficiency
- Validation with Real World Data
- Conclusions and Discussion
- References
- Adaptive Motion Segmentation Algorithm Based on the Principal Angles Configuration
- Introduction
- Our Proposal
- Notation
- Issues Regarding the Behaviour of Principal Angles
- Rank Selection via Principal Angles Clusterization (PAC)
- Sum of Clusterization-Based Affinity (SCbA)
- Summary of Our Proposal
- Experiments
- Conclusions and Perspectives
- References
- Real-Time Detection of Small Surface Objects Using Weather Effects
- Introduction
- Weather Effects on Vision
- Atmospheric Scattering Model
- Degradation Analysis
- Detection Using Weather Effects
- Dark Channel Prior for Surface Objects
- Depth Map from a Single Image
- Detecting the Horizon
- Spatial-Variant Thresholds
- Experimental Results
- Discussions and Conclusions
- References
- Automating Snakes for Multiple Objects Detection
- Introduction
- Quad Tree Based Snake Initialization
- Snake Validation Using Boosting
- Results and Discussions
- Oil Sand Images
- Leukocyte Images
- Interpretation of Results
- Conclusion and Fututre Works
- References
- Monocular Template-Based Reconstruction of Smooth and Inextensible Surfaces
- Introduction
- Related Work on Inextensible Surface Reconstruction
- Convex Formulation of the Upper Bound Approach with Noise in All Images
- Noise in the Template Only
- Noise in Both the Template and the Input Images
- Smooth and Inextensible Surface Reconstruction
- Parametric Surface Model
- Surface Reconstruction as a Least-Squares Problem
- Experimental Results
- Experiments on Synthetic Data
- Experiments on Real Data
- Conclusion
- References
- Multi-class Leveraged k-NN for Image Classification
- Introduction
- Method
- Problem Statement and Notations
- (Leveraged) k-Nearest Neighbors
- Multiclass Surrogate Risk Minimization
- MLNN: Multi-class Leveraged k-NN Rule
- Properties of MLNN
- Experiments
- Scene Categorization
- Categorization Results
- Conclusion
- References
- Video Based Face Recognition Using Graph Matching
- Introduction
- Face Image Representation
- Feature Point Extraction
- Feature Description with Local Binary Pattern
- Image Graph Construction
- Probabilistic Graph Appearance Model
- Adaptive Matching and Recognition
- Experiments
- Conclusion
- References
- A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition
- Introduction
- Visual Word Generation
- Hybrid Supervised-Unsupervised Approach
- Relation to the Baseline Procedures
- Datasets
- Experimental Setup
- Results
- Concept Recognition Performance
- Runtime Considerations
- Label Distribution Statistics across Visual Words
- Conclusion
- References
- Image Inpainting Based on Probabilistic Structure Estimation
- Introduction
- ProposedMethod
- Initial Image Construction
- Patch Selection
- Experiments
- Inpainted Results
- Subjective Evaluation of Image Quality
- Computational Time
- Conclusion
- References
- Text Localization and Recognition in Complex Scenes Using Local Features
- Introduction
- Related Work
- Local Feature-Based Approach
- Method of Building TCFD
- Voting and Geometric Verification Algorithm
- Segmentation Algorithm and Multiple-Character Recognition
- The Datasets
- Experimental Results
- Conclusion
- References
- Pyramid-Based Multi-structure Local Binary Pattern for Texture Classification
- Introduction
- Local Binary Pattern
- The LBP Methods
- Structures Extracted by Conventional LBP
- Multi-structure Local Binary Pattern
- Image Pyramid
- Rotation Invariant Multi-structure Local Binary Pattern
- Similarity Metric
- Experimental Results
- Calculation of Distance Weights
- Implementation of Multi-structure Local Binary Pattern
- Conclusions
- References
- Unsupervised Moving Object Detection with On-line Generalized Hough Transform
- Introduction
- ProposedWork
- Automatic On-line Instance Selection
- On-line Extremely Randomized Trees
- Object Detection
- Experiments
- The PETS2006 Dataset
- The i-LIDS Dataset
- The Traffic Dataset
- Conclusions
- References
- Interactive Event Search through Transfer Learning
- Introduction
- Overview and Contributions of Proposed Approach
- Relation to Existing Work
- Relevance Feedback for Video Retrieval
- Basics of Transfer Learning
- Transfer Learning with Multiple Source Tasks
- Transfer Learning for Relevance Feedback Search
- Relevance Feedback Using Transfer Learning for Activity Search
- Scoring Videos and Relevance Feedback
- Transferring Knowledge from a Source Task
- Determining Which Source Task to Transfer From
- Integrating Relevance Feedback with Transfer Learning
- Experiments
- Conclusion
- References
- A Compositional Exemplar-Based Model for Hair Segmentation
- Introduction
- Compositional Exemplar-Based Model
- Learning Similarity Function by SLS Features
- Introduce NLC Constraint into CEM
- Segmentation with Dual-Level Conditional Random Field
- Experimental Result
- Conclusion
- References
- Descriptor Learning Based on Fisher Separation Criterion for Texture Classification
- Introduction and Previous Work
- Texture Image Representation by FBL Descriptor
- The Learning Stage
- The Training Stage
- The Testing Stage
- Experimental Design and Results
- Rotation Invariant Texture Classification
- Material Categorization
- Texture Classification under Variant Imaging Conditions
- Face Recognition
- Discussion
- Conclusions
- References
- Semi-supervised Neighborhood Preserving Discriminant Embedding: A Semi-supervised Subspace Learning Algorithm
- Introduction
- Graph Embedding and Graph Based NPE and LDA
- Graph Embedding View of Subspace Learning
- Graph View of NPE
- Graph View of LDA
- Semi-supervised Neighborhood Discriminant Embedding
- The Objective Function
- The Algorithm
- Experiments and Discussions
- Data Sets
- Face Representation
- Face Recognition
- Conclusion
- References
- Segmentation via NCuts and Lossy Minimum Description Length: A Unified Approach
- Introduction
- Related Work
- k-Way Normalized Cuts Criterion
- Lossy Minimum Description Length Criterion
- LMDL-NCuts: A Combined and Unified Criterion
- The Combined Criterion
- Initializing
- Construct Affinity Matrix
- The Algorithm
- Experiments
- Feature Construction
- Adaptively Select the Number of Segments
- Comparison with LMDL Based Algorithm
- Qualitative and Quantitative Comparison
- Conclusion
- References
- A Phase Discrepancy Analysis of Object Motion
- Introduction
- The Theory
- Phase Discrepancy and Ego-motion
- Approximating the Phase Discrepancy
- Eliminating Boundary Effects
- Experiments
- Implementing the Phase Discrepancy Algorithm
- A New Database for Moving Object Detection
- Performance Evaluation
- Comparison to Previous Methods
- Database Consistency
- Discussion and Future Work
- Sources of Errors
- Connections to Spectral Residual
- Concluding Remarks
- References
- Image Classification Using Spatial Pyramid Coding and Visual Word Reweighting
- Introduction
- Related Work
- Spatial Pyramid Coding and Visual Word Reweighting
- Spatial Pyramid Coding
- Visual Word Reweighting
- Experiments
- Conclusion
- References
- Class-Specific Low-Dimensional Representation of Local Features for Viewpoint Invariant Object Recognition
- Introduction
- Related Work
- Low-Dimensional Feature Representation by Supervised Multidimensional Scaling (sMDS)
- Experimental Results
- Conclusions
- References
- Learning Non-coplanar Scene Models by Exploring the Height Variation of Tracked Objects
- Introduction
- Camera Projection Model
- Image Patch Model
- Processing of Tracking Observations
- Motion Tracking
- Walkable Regions
- Height Variation across Multiple Planes
- Image Segmentation to Scene Planes
- Segmentation of Walkable Region
- Global Motion Variety
- 3D Scene Model Estimation
- Estimating Average Heights
- Altitude Estimation
- Dataset and Results
- Dataset
- Results and Evaluation
- Conclusion and Future Work
- References
- Optimal Regions for Linear Model-Based 3D Face Reconstruction
- Introduction
- Preliminaries
- Facial Data
- Linear Subspaces for Reconstruction
- Automatic Segmentation of Facial Regions
- Optimal Region Blending
- Algorithm Derivation
- Final Algorithm
- Evaluation
- Experiments
- Conclusion
- References
- Color Kernel Regression for Robust Direct Upsampling from Raw Data of General Color Filter Array
- Introduction
- Interpolation with Kernel Regression
- Steering Kernel P418takeda2007kernel
- Proposed Color Kernel Regression
- Simultaneous Color Kernel Regression
- Local Density Parameter Optimization
- Iterative Color Kernel Regression
- Experiments
- Direct Upsampling from the Raw Data of the CFA Pattern
- Interplation from Irregularly Sampled Data
- Conclusions
- References
- The Large-Scale Crowd Density Estimation Based on Effective Region Feature Extraction Method
- Introduction
- System Architecture
- Crowd Density Estimation
- Region Feature Extracted and Modified
- Crowd Feature Extraction Based on Region Extraction
- Density Estimation Based on Support Vector Machine
- Experiments and Results
- Conclusion
- References
- TILT: Transform Invariant Low-Rank Textures
- Introduction
- Transform Invariant Low-Rank Textures
- Low-Rank Textures
- Deformed and Corrupted Low-Rank Textures
- Solution by Iterative Convex Optimization
- Fast Algorithm Based on Augmented Lagrangian Multiplier
- Additional Constraints and Implementation Details
- Experiments and Applications
- Range of Convergence of TILT
- Robustness of TILT
- Shape from Low-Rank Texture Detection
- Rectifying Different Categories of Low-Rank Textures
- References
- Translation-Symmetry-Based Perceptual Grouping with Applications to Urban Scenes
- Introduction
- Translation-Symmetry-Based Perceptual Grouping
- Low-Level Feature Aggregation
- Grouping of Low-Level Features
- Translation-Symmetry-Based Grouping
- Quantitative Evaluation
- Application
- Super-Resolution from a Single View
- Frontal View Facades Estimation from a Single View
- Conclusion
- References
- Towards Hypothesis Testing and Lossy Minimum Description Length: A Unified Segmentation Framework
- Introduction
- Segmentation by Hypothesis Testing
- Statistical Model of Image Segmentation
- Multi-normal Population Hypothesis Test
- Segmentation by Hypothesis Testing
- Segmentation by Hypothesis Testing and Lossy Data Coding: A Unified Approach
- Noise Modified Likelihood Ratio
- Lossy Minimum Description Length Segmentation: A Hypothesis Testing Perspective
- Experiments
- Feature Construction
- Verification
- Conclusion
- References
- A Convex Image Segmentation: Extending Graph Cuts and Closed-Form Matting
- Introduction
- Previous Works
- Graph Cuts
- Closed-Form Matting
- A Convex Segmentation
- Specializations
- Remarks
- Optimization
- Reformulation
- A Primal-Dual Interior Point Method
- A Newton Step
- Applications
- Matting
- Segmentation
- Conclusion
- References
- Linear Solvability in the Viewing Graph
- Introduction
- The Viewing Graph
- The Solution Set of the Viewing Graph
- The Viewing Graph System
- Characterisation of the Extended and Non-redundant Solution Sets
- The Linear Minimal Solution Superset of a Nonlinear Viewing Graph
- Topology and Solvability
- An Inductively Constructible Set of One Solution Linear Viewing Graphs
- Conclusions and Discussion
- References
- Inference Scene Labeling by Incorporating Object Detection with Explicit Shape Model
- Introduction
- Representation
- Bottom-Up Candidates Generation
- Candidacy Graph Construction
- Probabilistic Formulation
- Inference by Composite Cluster Sampling
- Experiments
- Summary
- References
- Saliency Density Maximization for Object Detection and Localization
- Introduction
- Related Work
- Saliency Map
- From Saliency Map to Salient Object
- The Proposed Method
- Existing Schemes
- Our New Formulation
- Our Algorithm
- Experimental Results
- Database
- Comparison MSD with Exhaustive Search
- Comparison MSD with MSR
- Evaluation on Different Saliency Maps
- Parameter Evaluation
- Time Complexity
- Conclusion
- References
- Modified Hybrid Bronchoscope Tracking Based on Sequential Monte Carlo Sampler: Dynamic Phantom Validation
- Introduction
- SMC Sampler-Based Bronchoscope Tracking
- SMC Sampler
- Definitions of Bronchoscopic Camera Motion
- SMC Sampler for Camera Motion Estimation
- Experimental Results
- Discussion
- Conclusions and Future Work
- References
- Affine Warp Propagation for Fast Simultaneous Modelling and Tracking of Articulated Objects
- Introduction
- Related Work
- Image Alignment via Affine Warps
- Affine Warp Propagation
- Non-probabilistic Graphical Model Definition
- Message Definition
- Message Correction
- Learning Spatial Relations and Weights
- Experiments
- Discussion
- References
- kPose: A New Representation For Action Recognition
- Introduction
- Feature for Pose Description
- Pose Weighted Distribution Model
- Intra- and Inter-class Distance
- Pose-Weighted Distribution Model Learning
- KPose Based Action Representation
- Action Classification
- Experiment
- Conclusion
- References
- Identifying Surprising Events in Videos Using Bayesian Topic Models
- Introduction
- Motivation
- Related Work
- Our Approach
- Activity Representation
- Objects as Space Time Tubes
- Trajectories
- Modeling of Typical Activities Using LDA
- Surprise Detection
- Bayesian Surprise and the LDA Model
- Experimental Results
- Dataset
- Trajectory Classification
- Surprising Events
- Conclusions
- References
- Face Detection with Effective Feature Extraction
- Introduction
- Simple Edge Descriptors
- HoG and LBP
- Rectangular Features Based on HoG and LBP
- Joint Rectangular Features
- Experiments
- Frontal Face Detection
- Discussion
- Conclusion
- References
- Multiple Order Graph Matching
- Introduction
- Multiple Order Tensor Formulation
- Tensor Power Iteration
- Symmetric Higher-Order Power Iteration
- Symmetric Multiple Order Tensor Power Iteration
- Implementation Issues
- Potential Details
- Sampling
- Experiments
- Synthetic Data
- Real Images
- Conclusion
- References
- Abstraction and Generalization of 3D Structure for Recognition in Large Intra-Class Variation
- Introduction
- Motivation and Related Work
- Dataset
- Creating COMPAS
- Representation
- Features and Measures
- Classifier
- Recognition
- Experiment 1
- Experiment 2
- Future Direction and Conclusion
- References
- Exploiting Self-similarities for Single Frame Super-Resolution
- Introduction
- Proposed Algorithm
- Exploiting Self-similarities to Generate Example Pairs
- Exploiting Group Self-similarities to Construct High-Resolution Images
- Experimental Results
- Concluding Remarks
- References
- On Feature Combination and Multiple Kernel Learning for Object Tracking
- Introduction
- Related Work
- Algorithms
- The Multiple Kernel Learning
- Spatial Pyramid Histogram Feature
- Online Updating
- Our Tracking Framework
- Experimental Results
- Conclusions
- References
- Correspondence-Free Multi Camera Calibration by Observing a Simple Reference Plane
- Introduction
- Single Camera Calibration Using a Reference Plane
- Zhang's Method P490bib:zhang2000-calib
- Corresponding Points between Two Cameras
- Multi Camera Calibration
- Observation of a Reference Plane
- Initial Estimation of the Relative Poses of Cameras and Its Optimization
- Proposed Method
- Experiments Using Real Images
- Stability Evaluation with a Polka-Dot Pattern
- Building a Simple Shape Measurement System
- Conclusion
- References
- Over-Segmentation Based Background Modeling and Foreground Detection with Shadow Removal by Using Hierarchical MRFs
- Introduction
- Related Work
- Over-Segmentation Based Background Modeling
- Markov Random Fields for Classification
- Energy Minimization
- Hierarchical Belief Propagation Optimization over MRFs
- Experimental Results
- Conclusion
- References
- MRF-Based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos
- Introduction
- Foreground Segmentation Framework
- Proposed Background Initialisation Algorithm
- Similarity Criteria for Lables
- Markov Random Field (MRF) Framework
- Node Initialisation
- Calculation of the Energy Potential
- Modified Background Model for Foreground Segmentation
- Experiments
- Main Findings
- References
- Adaptive eLBP for Background Subtraction
- Introduction
- From LBP to Adaptive LBP
- Background Subtraction Based on Adaptive LBP
- Experimental Results
- Qualitative Evaluation
- Quantitative Evaluation
- Computation Cost
- Conclusion
- References
- Continuous Surface-Point Distributions for 3D Object Pose Estimation and Recognition
- Introduction
- Related Work
- Object Model
- Inference
- Learning
- Modeling a Point-Cloud Reconstruction
- Learning from Multiple Views
- Evaluation
- Cluttered-Scene Pose Estimation
- Object Detection and Recognition
- Conclusion
- References
- Efficient Structured Support Vector Regression
- Introduction
- Our Approach
- Problem Description
- Our Max-Margin Formulation
- Parameter Learning and Inference Details
- Relationship to Existing Work
- Experiments
- Binary Synthetic Images
- Middlebury Stereo Datasets
- Conclusion
- References
- Cage-Based Tracking for Performance Animation
- Introduction
- Related Works
- Problem Statement and Contributions
- Background and Notations
- Pipeline Overview
- Linear Least Squares Cage Fitting
- Harmonic Subspace Deformation
- Laplacian-Based Subspace
- Linear Subspace Constraints
- Results and Evaluation
- Discussion
- Conclusion and Future Works
- References
- Modeling Dynamic Scenes Recorded with Freely Moving Cameras
- Introduction
- Reconstruction Procedure
- Results
- Conclusions
- References
- Learning Image Structures for Optimizing Disparity Estimation
- Introduction
- Previous Approaches
- Overview of Our Approach
- Details of Solution
- Triangulation
- Structures and Clusters
- Disparity Calculation
- Results
- Conclusion
- References
- Image Reconstruction for High-Sensitivity Imaging by Using Combined Long/Short Exposure Type Single-Chip Image Sensor
- Introduction
- Use of Single-Chip Image Sensor for Combined Long/Short Exposure Type Image Sensing
- Arrangement of Long-Term and Short-Term Exposed Pixels
- Arrangement of RGB Color Filters
- Reconstruction of Color Images
- Cost Function
- Minimization of the Cost Function
- Experimental Results
- Simulation
- Development of Dedicated Image Sensor
- Discussion
- Concluding Remarks
- References
- On the Use of Implicit Shape Models for Recognition of Object Categories in 3D Data
- Introduction
- 3D Implicit Shape Model
- Codebook
- Codebook Size
- Sharing Codewords among Categories
- Codeword Activation Strategy
- Votes Weighting Strategy
- Experimental Results
- Discussion
- Conclusions
- References
- Phase Registration of a Single Quasi-Periodic Signal Using Self Dynamic Time Warping
- Introduction
- Related Work
- Phase Registration
- Problem Statement
- Pseudo Period Estimation
- Self Dynamic Time Warping
- Phase Sequence Optimization
- Experiments
- Simulation Data
- Real Data
- Conclusion
- References
- Latent Gaussian Mixture Regression for Human Pose Estimation
- Introduction
- Gaussian Mixture Regression
- Latent GMR Body Pose Estimation
- Locality Preserving Projections
- Learning
- Inference
- Experiments
- Data Sets
- Comparison
- Conclusions and Future Work
- References
- Top-Down Cues for Event Recognition
- Introduction
- Overall Architecture
- Top-Down Attention Histogram for Event Representation
- STIPs: Video Representation
- Top-Down Attention Histogram
- Experiment
- Data Sets
- Classifier
- HOHA
- TRECVID
- Conclusion
- References
- Robust Photometric Stereo via Low-Rank Matrix Completion and Recovery
- Introduction
- Photometric Stereo as Low-Rank Matrix Recovery with Sparse Errors
- Efficient Solution via Convex Programming
- Convex Relaxation and Modification
- Fast Algorithm Using Augmented Lagrange Multiplier
- Experiments
- Quantitative Evaluation with Synthetic Images
- Qualitative Evaluation with Real Images
- Discussion and Future Work
- References
- Robust Auxiliary Particle Filter with an Adaptive Appearance Model for Visual Tracking
- Introduction
- Related Works
- Receding Horizon Auxiliary Particle Filter
- Particle Filter for Appearance Based Visual Tracking
- Receding Horizon Auxiliary Particle Filter
- Adaptive Appearance Learning and Robust Observation Function
- Experiments
- Comparison with IVT
- Comparison with Geometric PF with OIF
- Conclusion
- References
- Sustained Observability for Salient Motion Detection
- Introduction
- State-Space Representation
- Dynamic Textures
- Observability of a State Space Model
- Observability from Outputs and Salient Motion
- Quantitative Measure for Observability
- Sustained Observability
- Experiments
- Quantitative Evaluation
- Comparison
- Conclusion
- References
- Markerless and Efficient 26-DOF Hand Pose Recovery
- Introduction
- Related Work
- Methodology
- Observation Model
- Hand Model
- Hypothesis Evaluation
- Particle Swarm Optimization
- Exploiting Parallelism
- Experimental Evaluation
- Quantitative Evaluation Based on Synthetic Data
- Experiments with Real World Images
- Discussion
- References
- Stick It! Articulated Tracking Using Spatial Rigid Object Priors
- Introduction
- Articulated Tracking
- Related Work
- Projected Spatial Priors
- The KKB Tracker
- Spatial Object Interaction Prior
- Two Dimensional Object Information
- Visual Measurements
- Experimental Results
- Discussion
- References
- A Method for Text Localization and Recognition in Real-World Images
- Introduction
- Problem Description
- Text Localization and Recognition
- MSER Detection
- Character and Non-character Classification
- Text Line Hypothesis Formation
- Geometric Normalization
- Character Recognition
- The Typographic Model
- The Language Model
- Experiments
- Chars74K Dataset
- ICDAR 2003 Dataset
- Conclusions
- References
- Author Index
