Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 14th Iberoamerican Conference on Pattern Recognition, Ciarp 2009,

ISBN-13: 9783642102677 / Angielski / Miękka / 2009 / 1082 str.

Eduardo Jose Bayro-Corrochano

Opis

The 14th Iberoamerican Congress on Pattern Recognition (CIARP 2009, C- gresoIberoAmericanodeReconocimientodePatrones)formedthelatestofanow longseriesofsuccessfulmeetingsarrangedbytherapidlygrowingIberoamerican pattern recognition community. The conference was held in Guadalajara, Jalisco, Mexico and organized by the Mexican Association for Computer Vision, Neural Computing and Robotics (MACVNR). It was sponsodred by MACVNR and ?ve other Iberoamerican PR societies. CIARP 2009 was like the previous conferences in the series supported by the International Association for Pattern Recognition (IAPR). CIARP 2009 attracted participants from all over the world presenting sta- of-the-artresearchon mathematical methods and computing techniques for p- tern recognition, computer vision, image and signal analysis, robot vision, and speech recognition, as well as on a wide range of their applications. This time the conference attracted participants from 23 countries,9 in Ibe- america, and 14 from other parts of the world. The total number of submitted papers was 187, and after a serious review process 108 papers were accepted, all of them with a scienti?c quality above overall mean rating. Sixty-four were selected as oral presentations and 44 as posters. Since 2008 the conference is almost single track, and therefore there was no real grading in quality between oral and poster papers. As an acknowledgment that CIARP has established itself as a high-quality conference, its proceedings appear in the Lecture Notes in Computer Science series. Moreover, its visibility is further enhanced by a selection of a set of papers that will be published in a special issue of the journal Pattern Recognition Letters.

Spis treści

Keynote 1.- An Imaging Architecture Based on Derivative Estimation Sensors.- Image Coding, Processing and Analysis.- Landmark Real-Time Recognition and Positioning for Pedestrian Navigation.- A Binarization Method for a Scenery Image with the Fractal Dimension.- Selective Change-Driven Image Processing: A Speeding-Up Strategy.- Coding Long Contour Shapes of Binary Objects.- Finding Images with Similar Lighting Conditions in Large Photo Collections.- Color Image Registration under Illumination Changes.- A Novel Approach to Robust Background Subtraction.- Automatic Choice of the Number of Nearest Neighbors in Locally Linear Embedding.- K-Medoids-Based Random Biometric Pattern for Cryptographic Key Generation.- A Hardware Architecture for SIFT Candidate Keypoints Detection.- Analysis of Non Local Image Denoising Methods.- Segmentation, Analysis of Shape and Texture.- Texture Characterization Using a Curvelet Based Descriptor.- Improving Fingerprint Matching Using an Orientation-Based Minutia Descriptor.- Morphological Shape Context: Semi-locality and Robust Matching in Shape Recognition.- On the Computation of the Common Labelling of a Set of Attributed Graphs.- Advances in Rotation-Invariant Texture Analysis.- SAR Image Segmentation Using Level Sets and Region Competition under the Model.- A New Segmentation Approach for Old Fractured Pieces.- Segmentation in 2D and 3D Image Using Tissue-Like P System.- Dynamic Image Segmentation Method Using Hierarchical Clustering.- A Study on Representations for Face Recognition from Thermal Images.- Fast Unsupervised Texture Segmentation Using Active Contours Model Driven by Bhattacharyya Gradient Flow.- A Distributed and Collective Approach for Curved Object-Based Range Image Segmentation.- Learning an Efficient Texture Model by Supervised Nonlinear Dimensionality Reduction Methods.- A Fuzzy Segmentation Method for Images of Heat-Emitting Objects.- Keynote 2.- Challenges and Opportunities for Extracting Cardiovascular Risk Biomarkers from Imaging Data.- Geometric Image Processing and Analysis.- A New Unsupervised Learning for Clustering Using Geometric Associative Memories.- Airway Tree Segmentation from CT Scans Using Gradient-Guided 3D Region Growing.- Geometric Approach to Hole Segmentation and Hole Closing in 3D Volumetric Objects.- Optimizations and Performance of a Robotics Grasping Algorithm Described in Geometric Algebra.- Homological Computation Using Spanning Trees.- Getting Topological Information for a 80-Adjacency Doxel-Based 4D Volume through a Polytopal Cell Complex.- Circular Degree Hough Transform.- Analysis of Signal, Speech and Language.- Isolate Speech Recognition Based on Time-Frequency Analysis Methods.- Feature Selection Based on Information Theory for Speaker Verification.- Simple Noise Robust Feature Vector Selection Method for Speaker Recognition.- Implementation of Three Text to Speech Systems for Kurdish Language.- Functional Feature Selection by Weighted Projections in Pathological Voice Detection.- Prediction of Sequential Values for Debt Recovery.- A Computer-Assisted Colorization Approach Based on Efficient Belief Propagation and Graph Matching.- Signal Analysis for Assessment and Prediction of the Artificial Habitat in Shrimp Aquaculture.- Document Processing and Recognition.- Learning Co-relations of Plausible Verb Arguments with a WSM and a Distributional Thesaurus.- Handwritten Word Recognition Using Multi-view Analysis.- A Speed-Up Hierarchical Compact Clustering Algorithm for Dynamic Document Collections.- Incorporating Linguistic Information to Statistical Word-Level Alignment.- Keynote 3.- When Pyramids Learned Walking.- Feature Extraction, Clustering and Classification.- A Simple Method for Eccentric Event Espial Using Mahalanobis Metric.- A Combine-Correct-Combine Scheme for Optimizing Dissimilarity-Based Classifiers.- BR: A New Method for Computing All Typical Testors.- Classifier Selection in a Family of Polyhedron Classifiers.- Characterisation of Feature Points in Eye Fundus Images.- Combining Functional Data Projections for Time Series Classification.- Finding Small Consistent Subset for the Nearest Neighbor Classifier Based on Support Graphs.- Analysis of the GRNs Inference by Using Tsallis Entropy and a Feature Selection Approach.- Clustering Ensemble Method for Heterogeneous Partitions.- Using Maximum Similarity Graphs to Edit Nearest Neighbor Classifiers.- A New Incremental Algorithm for Overlapped Clustering.- The Multi-level Learning and Classification of Multi-class Parts-Based Representations of U.S. Marine Postures.- The Representation of Chemical Spectral Data for Classification.- Visual Pattern Analysis in Histopathology Images Using Bag of Features.- A Brief Index for Proximity Searching.- Pigmented Skin Lesions Classification Using Dermatoscopic Images.- A Multi-class Kernel Alignment Method for Image Collection Summarization.- Statistical Pattern Recognition.- Correlation Pattern Recognition in Nonoverlapping Scene Using a Noisy Reference.- Particle Swarm Model Selection for Authorship Verification.- Image Characterization from Statistical Reduction of Local Patterns.- Semi-supervised Robust Alternating AdaBoost.- Robust Radio Broadcast Monitoring Using a Multi-Band Spectral Entropy Signature.- Real Time Hot Spot Detection Using FPGA.- Fast Pattern Classification of Ventricular Arrhythmias Using Graphics Processing Units.- SPC without Control Limits and Normality Assumption: A New Method.- Neural Networks for Pattern Recognition.- Improved Online Support Vector Machines Spam Filtering Using String Kernels.- Neural Network Ensembles from Training Set Expansions.- Leaks Detection in a Pipeline Using Artificial Neural Networks.- Computing the Weights of Polynomial Cellular Neural Networks Using Quadratic Programming.- Two-Dimensional Fast Orthogonal Neural Network for Image Recognition.- An Enhanced Probabilistic Neural Network Approach Applied to Text Classification.- Writer Identification Using Super Paramagnetic Clustering and Spatio Temporal Neural Network.- Recognition and Quantification of Area Damaged by Oligonychus Perseae in Avocado Leaves.- Neurocontroller for Power Electronics-Based Devices.- Keynote 4.- 3D and Appearance Modeling from Images.- Computer Vision.- Towards an Iterative Algorithm for the Optimal Boundary Coverage of a 3D Environment.- Measuring Cubeness of 3D Shapes.- Self-calibration from Planes Using Differential Evolution.- Graph-Cut versus Belief-Propagation Stereo on Real-World Images.- Combining Appearance and Range Based Information for Multi-class Generic Object Recognition.- Dealing with Inaccurate Face Detection for Automatic Gender Recognition with Partially Occluded Faces.- Rigid Part Decomposition in a Graph Pyramid.- Multimodal Algorithm for Iris Recognition with Local Topological Descriptors.- Scene Retrieval of Natural Images.- Use of Ultrasound and Computer Vision for 3D Reconstruction.- Two-Frame Optical Flow Formulation in an Unwarping Multiresolution Scheme.- Video Segmentation and Tracking.- Generating Video Textures by PPCA and Gaussian Process Dynamical Model.- Fuzzy Feature-Based Upper Body Tracking with IP PTZ Camera Control.- Experimental Assessment of Probabilistic Integrated Object Recognition and Tracking Methods.- Real-Time Stereo Matching Using Memory-Efficient Belief Propagation for High-Definition 3D Tele-Presence Systems.- Improving Recurrent CSVM Performance for Robot Navigation on Discrete Labyrinths.- Discrete Integral Sliding Mode Control in Visual Object Tracking Using Differential Kinematics.- Machine Learning and Geometric Technique for SLAM.- Compression and Key Feature Extraction for Video Transmission.- Robot Vision.- Robot Command Interface Using an Audio-Visual Speech Recognition System.- A Rapidly Trainable and Global Illumination Invariant Object Detection System.- Expanding Irregular Graph Pyramid for an Approaching Object.- Learning Relational Grammars from Sequences of Actions.- On Environmental Model-Based Visual Perception for Humanoids.- Dexterous Cooperative Manipulation with Redundant Robot Arms.- A Simple Sample Consensus Algorithm to Find Multiple Models.- Keynote 5.- Pulse Coupled Neural Networks for Automatic Urban Change Detection at Very High Spatial Resolution.- Intelligent Remote Sensing Imagery Research and Discovery Techniques.- Randomized Probabilistic Latent Semantic Analysis for Scene Recognition.- Object Contour Tracking Using Foreground and Background Distribution Matching.- Processing of Microarray Images.- Multi-focus Image Fusion Based on Fuzzy and Wavelet Transform.- Unsupervised Object Discovery from Images by Mining Local Features Using Hashing.- CASI 2009 Workshop I: Intelligent Computing for Remote Sensing Imagery.- Spectral Estimation of Digital Signals by the Orthogonal Kravchenko Wavelets .- Video Denoising by Fuzzy Directional Filter Using the DSP EVM DM642.- Image Authentication Scheme Based on Self-embedding Watermarking.- Unified Experiment Design, Bayesian Minimum Risk and Convex Projection Regularization Method for Enhanced Remote Sensing Imaging.- Intelligent Experiment Design-Based Virtual Remote Sensing Laboratory.- CASI 2009 Workshop II: Intelligent Fussion and Classification Techniques.- Optimizing Classification Accuracy of Remotely Sensed Imagery with DT-CWT Fused Images.- Filter Banks for Hyperspectral Pixel Classification of Satellite Images.- Minimum Variance Gain Nonuniformity Estimation in Infrared Focal Plane Array Sensors.- Movement Detection and Tracking Using Video Frames.- A New Steganography Based on ? 2 Technic.- Near Real Time Enhancement of Remote Sensing Imagery Based on a Network of Systolic Arrays.

Blurb

This book constitutes the refereed proceedings of the 14th Iberoamerican Congress on Pattern Recognition, CIARP 2009, held in Guadalajara, Mexico, in November 2009.

The 64 revised full papers presented together with 44 posters were carefully reviewed and selected from 187 submissions. The papers are organized in topical sections on image coding, processing and analysis; segmentation, analysis of shape and texture; geometric image processing and analysis; analysis of signal, speech and language; document processing and recognition; feature extraction, clustering and classification; statistical pattern recognition; neural networks for pattern recognition; computer vision; video segmentation and tracking; robot vision; intelligent remote sensing, imagery research and discovery techniques; intelligent computing for remote sensing imagery; as well as intelligent fusion and classification techniques.