Advances in Visual Computing 11th International Symposium, ISVC 2015, Las Vegas, NV, USA, December 14-16, 2015, Proceedings, Part II

• Main Authors: Bebis, George, Boyle, Richard, Parvin, Bahram, Koracin, Darko, Pavlidis, Ioannis, Feris, Rogerio, McGraw, Tim, Elendt, Mark, Kopper, Regis, Ragan, Eric
• Format: eBook
• Language: English
• Published: Cham Springer International Publishing AG 2015
• Edition: 1
• Subjects: Computer vision-Congresses

Table of Contents:

• 4.3 Identification -- 5 Conclusions -- References -- Fingerprint Matching with Optical Coherence Tomography -- 1 Introduction -- 1.1 Fingerprint Matching -- 1.2 Optical Coherence Tomography -- 2 Methodology -- 2.1 Fingerprint Extraction -- 2.2 Parameter Optimization -- 3 Results and Discussion -- 3.1 Papillary Junction Compared to Surface Fingerprints -- 3.2 Papillary Junction Compared Against Other Papillary Junction Fingerprints -- 4 Conclusion -- References -- Improve Non-graph Matching Feature-Based Face Recognition Performance by Using a Multi-stage Matching Strategy -- 1 Introduction -- 2 Non-graph Matching Feature-Based Face Recognition -- 2.1 Implementation of Non-graph Matching Method -- 3 The Recognition Degradation of Feature-Based Method -- 3.1 Dispersion of Feature Points Correspondence -- 3.2 Accuracy Degradation -- 4 Multi-stage Matching Algorithms -- 4.1 The Core of Multi-stage Matching Strategy -- 4.2 Binary Elimination -- 4.3 Divide and Conquer -- 4.4 A Typical Case -- 5 Experiments -- 5.1 Database and Sample Images -- 5.2 Results -- 6 Conclusion -- References -- Neighbors Based Discriminative Feature Difference Learning for Kinship Verification -- 1 Introduction -- 2 Local Feature Learning -- 3 Experiments -- 3.1 Datasets -- 3.2 Experimental Settings -- 3.3 Examples of the Learned Difference -- 3.4 Experimental Results on KinFaceW-I -- 3.5 Experimental Results on KinFaceW-II -- 4 Conclusion -- References -- A Comparative Analysis of Two Approaches to Periocular Recognition in Mobile Scenarios -- 1 Introduction -- 2 Related Work -- 3 Recognition Algorithms -- 3.1 Method 1: GMM-UBM -- 3.2 Method 2: Santos et al. -- 3.3 Algorithm Extensions -- 4 Results and Discussion -- 4.1 CSIP Database -- 4.2 Experimental Setup -- 4.3 Performance Comparison -- 4.4 Cross-Sensor Recognition -- 5 Conclusions and Future Work -- References
• 1 Introduction -- 2 The Methodology -- 3 Experimental Setup, Evaluation and Results -- 4 Conclusion -- References -- Effective Information and Contrast Based Saliency Detection -- 1 Introduction -- 2 Proposed Approach -- 2.1 Information Set Based Features -- 2.2 Color Based Clustering -- 2.3 Combining Color Clustered and Information Based Images -- 3 Analysis of Results -- 3.1 Evaluation on MSRA Dataset -- 3.2 Evaluation on Berkley-300 Database -- 4 Conclusions -- References -- Edge Based Segmentation of Left and Right Ventricles Using Two Distance Regularized Level Sets -- 1 Introduction -- 2 Two-Level-Set Approach -- 2.1 Anatomical Knowledge for Left and Right Ventricle Segmentation -- 2.2 Edge Based Segmentation of LV and RV Using Two Distance Regularized Level Sets -- 2.3 Energy Minimization -- 3 Application of Proposed Method to Segmentation of Left and Right Ventricles -- 3.1 Roughly Locate Endocardial Contours of LV and RV Using DRLSE -- 3.2 Extraction of Both Endocardial and Epicardial Contours Using Proposed Model -- 4 Experimental Results -- 4.1 Parameters Selection -- 4.2 Segmentation Results -- 5 Conclusions -- References -- Automatic Crater Detection Using Convex Grouping and Convolutional Neural Networks -- Abstract -- 1 Introduction -- 2 Background -- 3 Proposed Method -- 3.1 Candidate Crater Region Extraction -- 3.2 Candidate Crater Region Verification -- 4 Experimental Results and Comparisons -- 4.1 Data Set -- 4.2 Performance Evaluation Measures -- 4.3 Performance Analysis of Candidate Crater Region Detection -- 4.4 Performance Analysis of Candidate Crater Region Verification -- 5 Conclusions -- References -- ST: Biometrics -- Segmentation of Saimaa Ringed Seals for Identification Purposes -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Segmentation -- 3.2 Identification -- 4 Experiments -- 4.1 Data -- 4.2 Segmentation
• Applications
• 1 Introduction -- 2 Related Work -- 3 Split Grammar -- 4 Interactive Application -- 5 Rendering -- 6 Implementation and Results -- 6.1 User Testing -- 6.2 Compressed Image Rendering -- 7 Conclusions -- References -- Facial Fattening and Slimming Simulation Based on Skull Structure -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Database Construction -- 3.1 Photography Conditions -- 3.2 Facial FPs Normalization -- 3.3 Skull Contour FPs Normalization -- 4 Facial Fattening and Slimming Simulation -- 4.1 Skull Estimation -- 4.2 Generation of Facial Fattening Variations -- 4.3 Calculation of the Facial Fattening Rule -- 4.4 Deformation and Synthesizing Background Image -- 5 Discussions -- 5.1 Comparison with Other Rules and the Precision of Skull Estimation -- 5.2 Subjective Experiment with Facegen -- 5.3 Execution Time -- 5.4 Limitation -- 6 Conclusions and Future Work -- References -- Many-Lights Real Time Global Illumination Using Sparse Voxel Octree -- 1 Introduction -- 2 Related Work -- 3 Our Algorithm -- 3.1 VPL Visibility Tests Using Sparse Voxel Octree -- 3.2 Rendering -- 4 Results -- 5 Conclusion and Future Work -- References -- WebPhysics: A Parallel Rigid Body Simulation Framework for Web Applications -- 1 Introduction -- 2 Related Work -- 3 Methodology Overview and Binding -- 3.1 JavaScript Binding -- 4 Box2DOCL: Parallel Rigid Body Simulation -- 4.1 Broad Phase -- 4.2 Narrow Phase -- 4.3 Constraint Solver -- 5 Experimental Results -- 6 Conclusion -- References -- Segmentation -- A Markov Random Field and Active Contour Image Segmentation Model for Animal Spots Patterns -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Preprocessing -- 3.2 MRF Model for Segmentation -- 3.3 Postprocessing -- 4 Experimental Framework -- 4.1 Dataset -- 4.2 Experiments -- 5 Results -- 6 Conclusions -- References -- Segmentation of Building Facade Towers
• Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Applications -- Hybrid Example-Based Single Image Super-Resolution -- 1 Introduction -- 2 Hybrid Example-Based Super-Resolution -- 2.1 Proxy Image Recovery -- 2.2 Gradient-Level Self-Awareness -- 2.3 Final Image Reconstruction -- 3 Experimental Results -- 4 Conclusion -- References -- Automated Habit Detection System: A Feasibility Study -- 1 Introduction -- 2 Habit Detection System -- 2.1 Recording Environment and Material -- 2.2 Detection of Tracking Points -- 2.3 Definition of ``habit'' and Its Detection -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Conductor Tutoring Using the Microsoft Kinect -- 1 Introduction -- 2 System Overview -- 3 Methodology -- 3.1 Detection of Swaying, Rocking, and Excessive Hinge Movement -- 3.2 Mirroring Detection -- 3.3 Tempo Calculation -- 3.4 Recognizing Articulation -- 4 Experiments and Results -- 5 Conclusions and Future Work -- References -- Lens Distortion Rectification Using Triangulation Based Interpolation -- 1 Introduction -- 2 Lens Distortion Model -- 3 Distortion Rectification -- 3.1 Inversion by Newton-Raphson Method -- 3.2 Taylor Expansion Based Inverse Model -- 4 Proposed Method: Rectification Using Inverse Distortion Model -- 5 Experimental Results -- 6 Conclusion -- References -- A Computer Vision System for Automatic Classification of Most Consumed Brazilian Beans -- 1 Introduction -- 2 Materials and Experimental Setup -- 2.1 Materials -- 2.2 Experimental Setup -- 3 Proposed CVS -- 3.1 Image Acquisition and Pre-processing -- 3.2 Segmentation of Grains -- 3.3 Classification of Grains -- 4 Experimental Results -- 5 Conclusions -- References -- 3D Computer Vision -- Stereo-Matching in the Context of Vision-Augmented Vehicles -- 1 Introduction -- 2 Stereo Matching Algorithms -- 2.1 Applied Basics
• 2.2 Belief-Propagation Matching -- 2.3 Hierarchical Feature LinBPM -- 3 Experiments -- 3.1 KITTI 2012 Dataset -- 3.2 KITTI 2015 Dataset -- 3.3 CCSAD Dataset -- 4 Conclusions -- References -- A Real-Time Depth Estimation Approach for a Focused Plenoptic Camera -- 1 Introduction -- 1.1 Related Work -- 1.2 Outline of Work -- 2 The Focused Plenoptic Camera -- 3 A Probabilistic Virtual Depth Map Estimation Algorithm -- 4 Virtual Depth Map Post-processing -- 4.1 Removing Noise and Estimating Missing Depth Values -- 4.2 Depth Map Refinement -- 5 Implementation on a CUDA Device -- 6 Results -- 7 Conclusion -- References -- Range Image Processing for Real Time Hospital-Room Monitoring -- 1 Introduction -- 2 Floor-Plane and Walls Detection -- 3 Real-Time Bed Detection -- 4 Real-Time People Segmentation -- 5 Experimental Framework and Result -- 6 Conclusion and Future Works -- References -- Real-Time 3-D Surface Reconstruction from Multiple Cameras -- Abstract -- 1 Introduction -- 2 System Overview -- 3 Pose Estimation -- 4 Depth Generation -- 4.1 Planesweep -- 4.2 Cost Aggregation -- 4.3 Global Optimization -- 5 Triangulation and Results -- 6 Conclusion -- References -- Stereo Correspondence Evaluation Methods: A Systematic Review -- Abstract -- 1 Introduction -- 2 Systematic Review -- 3 Findings on the Area -- 3.1 Evaluation Methods Using Ground-Truth -- 3.2 Evaluation Methods Without Ground-Truth -- 4 Concluding Remarks -- References -- Computer Graphics -- Guided High-Quality Rendering -- 1 Introduction -- 2 Related Work -- 3 Framework and Implementation -- 3.1 Building Blocks -- 3.2 Interaction and Distance Measure -- 3.3 Scheduling -- 3.4 Rendering -- 3.5 Filtering -- 3.6 Display -- 4 Benchmarks -- 4.1 Setup -- 4.2 Results -- 5 Conclusion and Future Work -- References -- User-Assisted Inverse Procedural Facade Modeling and Compressed Image Rendering