Pattern Recognition and Image Analysis 7th Iberian Conference, IbPRIA 2015, Santiago de Compostela, Spain, June 17-19, 2015, Proceedings

This book constitutes the proceedings of the 7th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2015, held in Santiage de Compostela, Spain, in June 2015.The 83 papers presented in this volume were carefully reviewed and selected from 141 submissions. They were organized in top...

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Bibliographic Details
Main Authors Paredes, Roberto, Cardoso, Jaime S, Pardo, Xosé M
Format eBook Book
LanguageEnglish
Published Cham Springer Nature 2015
Springer
Springer International Publishing AG
Edition1
SeriesLNCS sublibrary. Sl 6, Image processing, computer vision, pattern recognition, and graphics
Subjects
Computer vision
Computer vision > Congresses
Image processing
Image processing > Digital techniques > Congresses
Optical pattern recognition
Optical pattern recognition > Congresses
Special computer methods
Online AccessGet full text
ISBN3319193902
9783319193908
3319193899
9783319193892

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Table of Contents:
  • 2.1 Faces Detector -- 2.2 Color Filter for Faces -- 2.3 Classification -- 3 Results -- 3.1 Face Detector -- 3.2 Mask Detector -- 3.3 Face and Mask Detectors Combined -- 4 Conclusions -- References -- Image and Signal Processing -- New Method for Obtaining Optimal Polygonal Approximations -- 1 Introduction -- 2 Related Methods -- 2.1 Perez's Method -- 2.2 Salotti's Method -- 2.3 Horng's Method -- 3 Proposed Method -- 3.1 Improved Salotti's Method -- 3.2 Optimal Polygonal Approximation -- 4 Experimental Results -- 5 Conclusions -- References -- Noise Decomposition Using Polynomial Approximation -- 1 Introduction -- 2 Proposed Method -- 3 Experimental Results -- 3.1 Known Algebraic Models -- 3.2 Unknown Algebraic Model -- 4 Conclusions -- References -- Color Correction for Image Stitching by Monotone Cubic Spline Interpolation -- 1 Introduction -- 2 Method Description -- 2.1 Spline Color Mapping -- 2.2 Color Map Propagation -- 3 Experimental Results -- 3.1 Evaluation Setup -- 3.2 Results -- 4 Conclusions -- References -- Structured Output Prediction with Hierarchical Loss Functions for Seafloor Imagery Taxonomic Categorization -- 1 Introduction -- 2 Related Work -- 3 Seafloor Imagery Taxonomic Categorization -- 3.1 Model Formulation -- 3.2 Learning -- 3.3 Taxonomic Loss Functions -- 3.4 Dealing with Imbalanced Taxonomies -- 4 Results -- 4.1 Experimental Setup -- 4.2 Seafloor Imagery Taxonomic Categorization -- 4.3 Learning from Imbalanced Data -- 5 Conclusion -- References -- Escaping Path Approach with Extended Neighborhood for Speckle Noise Reduction -- 1 Introduction -- 2 Escaping Path Filter (EPF) -- 3 Experiments -- 4 Conclusions -- References -- Adaptive Line Matching for Low-Textured Images -- 1 Introduction -- 2 Line Matching -- 3 Results -- 4 Conclusions -- References -- Unsupervised Approximation of Digital Planar Curves -- 1 Introduction
  • Human Centered Scene Understanding Based on 3D Long-Term Tracking Data -- 1 Introduction -- 2 Methodology -- 2.1 Filtering -- 2.2 Clustering -- 2.3 Kernel Density Estimation -- 3 Results -- 4 Conclusion -- References -- Fast Head Pose Estimation for Human-Computer Interaction -- 1 Introduction -- 2 Related Work -- 3 The Model -- 3.1 Learning a HF for Head Pose Estimation -- 3.2 Fast Head Detection and Pose Estimation for HCI -- 3.3 Head Pose Estimation Tracking -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Face Detection and Head Pose Estimation Results -- 5 Conclusion -- References -- Structured Light System Calibration for Perception in Underwater Tanks -- 1 Introduction -- 2 Geometric Model -- 2.1 Camera Model -- 2.2 Projector Model -- 2.3 Triangulation -- 3 Calibration -- 3.1 Camera Calibration -- 3.2 Projector Calibration -- 3.3 SLSC-CR Method -- 3.4 SLSC-LP Method -- 4 Experimental Results -- 4.1 Experimental Setup -- 4.2 Results -- 5 Conclusions and Future Work -- References -- Dense 3D SLAM in Dynamic Scenes Using Kinect -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Depth Acquisition -- 3.2 Scene Flow Estimation -- 3.3 Moving Object Detection -- 3.4 Alignment Step -- 3.5 Fusion Step -- 4 Experimental Study -- 5 Discussion and Future Work -- References -- Scene Recognition Invariant to Symmetrical Reflections and Illumination Conditions in Robotics -- 1 Introduction -- 2 Feature Extraction -- 2.1 Global Representations -- 2.2 Local Descriptors -- 3 Experimental Results -- 3.1 First Set of Experiments -- 3.2 Second Set of Experiments: Robustness to Symmetries -- 4 Third Set of Experiments: Use of Public Benchmark -- 5 Conclusions and Future Work -- References -- System for Medical Mask Detection in the Operating Room Through Facial Attributes -- 1 Introduction -- 2 Faces Classification System
  • Intro -- Preface -- Organization -- Contents -- Oral Sessions: Pattern Recognition and Machine Learning -- Spatiotemporal Stacked Sequential Learning for Pedestrian Detection -- 1 Introduction -- 2 Related Work -- 3 Stacked Sequential Learning (SSL) -- 4 SSL for Pedestrian Detection -- 4.1 Spatiotemporal Neighborhoods for SSL -- 4.2 SSL Training -- 4.3 SSL Detector -- 5 Experimental Results -- 6 Conclusion -- References -- Social Signaling Descriptor for Group Behaviour Analysis -- 1 Introduction -- 2 Related Work -- 3 Semantic Concepts and Annotation -- 4 Proposed Framework -- 4.1 Social-Based Descriptor -- 4.2 Group Behaviour Classification -- 5 Experimental Results -- 5.1 Feature Matching -- 5.2 Pooling Strategy -- 5.3 Classification Results -- 6 Conclusions -- References -- A New Smoothing Method for Lexicon-Based Handwritten Text Keyword Spotting -- 1 Introduction -- 2 Keyword Spotting Framework Review -- 3 Out-of-Vocabulary Queries -- 3.1 Line-Level Smoothing with Levenshtein Distance -- 3.2 Frame-Level Word Posterior Smoothing -- 3.3 Lexicon-Based and HMM-Filler Combination -- 3.4 New Proposed Line-Level Smoothing -- 4 Experiments -- 4.1 Performance Assessment -- 4.2 Corpora -- 4.3 Experimental Setup -- 4.4 Results -- 5 Conclusions -- References -- Empirical Evaluation of Different Feature Representations for Social Circles Detection -- 1 Introduction -- 2 Previous Work -- 2.1 Community Detection in Networks -- 2.2 Application to Social Networks and Social Circles Detection -- 3 Methodology -- 3.1 Multi-Assignment Clustering -- 3.2 Structural Network Representation -- 3.3 User Profile Representation -- 4 Experiments -- 5 Results -- 6 Conclusions -- References -- Source-Target-Source Classification Using Stacked Denoising Autoencoders -- 1 Introduction -- 2 Baseline, Transfer Learning and STS Approaches -- 2.1 Source-Target-Source Framework
  • 3 Experimental Setup and Results -- 3.1 Transferring Specific Vs. Generic for STS Approach -- 4 Conclusions and Discussion -- References -- On the Impact of Distance Metrics in Instance-Based Learning Algorithms -- 1 Introduction -- 2 Incremental Hypersphere Classifier (IHC) Algorithm -- 3 Distance Metrics -- 4 Experimental Results -- 5 Conclusions and Future Work -- References -- Multi-class Boosting for Imbalanced Data -- 1 Introduction -- 2 Background -- 2.1 Multi-class Boosting with Vectorial Encoding -- 2.2 Cost-Sensitive Binary Boosting -- 3 Multi-class Cost-Sensitive Margin -- 4 BAdaCost: Boosting Adapted for Cost-Matrix -- 5 Experiments -- 5.1 Cost Matrix Construction -- 5.2 Synthetic Datasets -- 5.3 Real Data-set: Synapse and Mitochondria Segmentation -- 6 Conclusions -- References -- Computer Vision -- Object Discovery Using CNN Features in Egocentric Videos -- 1 Introduction -- 2 The Object Discovery Approach -- 2.1 Objectness and Easiness -- 2.2 Refill Strategy -- 2.3 Features for Object Discovery -- 2.4 Clustering and Hard Instancess Classification -- 3 Results -- 3.1 Lifelogging Dataset and Test Settings -- 3.2 Tests Comparison -- 4 Conclusions -- References -- Prototype Generation on Structural Data Using Dissimilarity Space Representation: A Case of Study -- 1 Introduction -- 2 Prototype Generation for Structural Data -- 2.1 Dissimilarity Space Transformation: RandomC -- 3 Experimentation -- 3.1 Data Reduction Strategies -- 3.2 Results -- 4 Conclusions -- References -- Estimation and Tracking of Partial Planar Templates to Improve VSLAM -- 1 Introduction -- 2 Modeling and Tracking of Partial Planar Templates -- 2.1 Matching -- 2.2 Updating the Surface Normal -- 2.3 Updating the Probability Mask -- 2.4 Example of Synthetic Image -- 3 Integration of Tracking Method with VSLAM -- 4 Experimental Results -- 5 Conclusions -- References
  • 2 Our Proposal -- 3 Experimental Results and Discussion -- 4 Conclusions -- References -- On the Modification of Binarization Algorithms to Retain Grayscale Information for Handwritten Text Recognition -- 1 Introduction -- 2 Handwritten Text Recognition -- 3 Proposed Approach -- 4 The ESPOSALLES Corpus -- 5 Experimental Results -- 6 Conclusions -- References -- Applications -- Improving the Minimum Description Length Inference of Phrase-Based Translation Models -- 1 Introduction -- 2 Related Work -- 3 The Minimum Description Length Principle -- 4 MDL Phrase-Based Models -- 4.1 Description Length Functions -- 4.2 Inference Procedure -- 4.3 Estimating the Impact of a Segmentation -- 5 Improving MDL Inference -- 6 Experiments -- 7 Conclusions and Future Developments -- References -- A Kinect-Based System to Assess Lymphedema Impairments in Breast Cancer Patients -- 1 Introduction -- 2 Related Work -- 2.1 Upper-Limb Volume Measurements -- 2.2 Upper-Limb Motion Evaluation -- 3 An Upper-Body Function Evaluation System -- 3.1 Patient Segmentation -- 3.2 Arm Contour Detection -- 3.3 Feature Extraction -- 3.4 Classification Models -- 4 Results -- 4.1 Database -- 4.2 Patient Segmentation -- 4.3 Arm Contour Detection -- 4.4 Upper-Body Functional Evaluation -- 5 Conclusion -- References -- Arabic Writer Identification Using Local Binary Patterns (LBP) of Handwritten Fragments -- Abstract -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Pre-processing -- 2.2 Feature Extraction -- 2.3 Classification (Identification) -- 3 Experiments and Results -- 3.1 Database -- 3.2 Results -- 3.3 Comparison and Discussion -- 4 Conclusion -- References -- A Fuzzy C-Means Algorithm for Fingerprint Segmentation -- 1 Introduction -- 2 Proposed Fingerprint Segmentation Method -- 2.1 Range Filter -- 2.2 Binarization -- 2.3 Morphological Post-processing -- 3 Experimental Results
  • 3.1 Ground-Truth Based Evaluation