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Autor Fierrez, Julian |
Documentos disponibles escritos por este autor (4)
Crear una solicitud de compra Refinar búsqueda9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1–4, 2019, Proceedings, Part I / Morales, Aythami ; Fierrez, Julian ; Sánchez, José Salvador ; Ribeiro, Bernardete
TÃtulo : 9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1–4, 2019, Proceedings, Part I Tipo de documento: documento electrónico Autores: Morales, Aythami, ; Fierrez, Julian, ; Sánchez, José Salvador, ; Ribeiro, Bernardete, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XXXIII, 632 p. 297 ilustraciones, 247 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-31332-6 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Inteligencia artificial Ordenador Sistemas de propósito especial y basados ​​en aplicaciones Estructuras aritméticas y lógicas Sistemas de reconocimiento de patrones Visión por computador Unidades aritméticas y lógicas informáticas. Reconocimiento Clasificación: 006.4 Resumen: Este conjunto de dos volúmenes constituye las actas arbitradas de la 9.ª Conferencia Ibérica sobre Reconocimiento de Patrones y Análisis de Imágenes, IbPRIA 2019, celebrada en Madrid, España, en julio de 2019. Los 99 artÃculos de estos volúmenes fueron cuidadosamente revisados ​​y seleccionados entre 137 presentaciones. Están organizados en secciones temáticas denominadas: Parte I: artÃculos mejor clasificados; aprendizaje automático; reconocimiento de patrones; procesamiento y representación de imágenes. Parte II: biometrÃa; análisis de escritura y documentos; otras aplicaciones. Nota de contenido: Best Ranked papers -- Towards a Joint Approach to Produce Decisions and Explanations Using CNNs -- Interactive-predictive neural multimodal systems -- Uncertainty estimation for black-box classification models: a use case for sentiment analysis -- Impact of ultrasound image reconstruction method on breast lesion classification with deep learning -- Segmentation of cell nuclei in fluorescence microscopy images using deep learning -- Food Recognition by Integrating Local and Flat Classifiers -- Machine Learning -- Combining Online Clustering and Rank Pooling Dynamics for Action Proposals -- On the Direction Guidance in Structure Tensor Total Variation Based Denoising -- Impact of Fused Visible-Infrared Video Streams on Visual Tracking -- Model Based Recursive Partitioning for Customized Price Optimization Analytics -- 3D Reconstruction of Archaeological Pottery from its Point Cloud -- Geometric interpretation of CNN's last layer -- Re-Weighted algorithms within the Lagrange duality framework: bringing interpretability to weights -- A note on Gradient-Based Intensity Normalization -- Blind Robust 3-D Mesh Watermarking based on Mesh Saliency and QIM quantization for Copyright Protection -- Using Copies to Remove Sensitive Data: A Case Study on Fair Superhero Alignment Prediction -- Weighted Multisource Tradaboost -- A proposal of neural networks with intermediate outputs -- Addressing the Big Data multi-class imbalance problem with oversampling and Deep Learning neural networks -- Reinforcement Learning and Neuroevolution in Flappy Bird Game -- Pattern Recognition -- Description and Recognition of Activity Patterns Using Sparse Vector Fields -- Instance Selection for the Nearest Neighbor Classifier Connecting the Performance to the Underlying Data Structure -- Modified DBSCAN algorithm for microscopic image analysis of wood -- Automatic Detection of Tuberculosis Bacilli from Microscopic Sputum Smear Images using Faster R-CNN, Transfer Learning and Augmentation -- Detection of stone circles in periglacial regions of Antarctica in UAV datasets -- Lesion Detection in Breast Ultrasound Images Using a Machine Learning Approach and Genetic Optimization -- Evaluating the Impact of Color Information in Deep Neural Networks -- Diatom classification including morphological adaptations using CNNs -- Deep Learning of Visual and Textual Data for Region Detection Applied to Item Coding -- Deep learning versus classic methods for multi-taxon diatom segmentation -- Estimation of Sulfonamides Concentration in Water based on Digital Colourimetry -- Characterization of cardiac and respiratory system of healthy subjects in supine and sitting position -- Automatic Fault Detection in a Cascaded Transformer Multilevel Inverter Using Pattern Recognition Techniques -- Collision anticipation via deep reinforcement learning for visual navigation -- Spectral band subset selection for discrimination of healthy skin and cutaneous Leishmanial ulcers -- Data Augmentation of Minority class with transfer learning for Classification of Imbalanced Breast Cancer Dataset using Inception V3 -- Image Processing and Representation -- Single-View Facial Hair 3D Reconstruction -- From Features to Attribute Graphs for Point Set Registration -- BELID: Boosted efficient local image descriptor -- A novel graph-based approach for seriation of mouse brain cross-section from images -- Class Reconstruction Driven Adversarial Domain Adaptation for Hyperspectral Image Classification -- Multi-Label Logo Classification using Convolutional Neural Networks -- Non-destructively prediction of quality parameters of drycured Iberian ham by applying computer vision and lowfield MRI -- Personalised aesthetics with residual adapters -- An Improvement for Capsule Networks using Depthwise Separable Convolution -- Wave Front Tracking in High Speed Videos Using a Dynamic Template Matching -- An Efficient Binary Descriptor to Describe Retinal Bifurcation Point for Image Registration -- Aggregation of deep features for image retrieval based on object detection -- Impact of Pre-Processing on Recognition of Cursive Video Text -- Image Feature Detection Based on Phase Congruency by Monogenic Filters with new Noise Estimation -- Texture Classification Using Capsule Networks -- Automatic vision based calibration system for planar cable-driven parallel robots -- 3D Non-rigid registration of Deformable object using GPU -- Focus estimation in academic environments using Computer Vision. Tipo de medio : Computadora Summary : This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, held in Madrid, Spain, in July 2019. The 99 papers in these volumes were carefully reviewed and selected from 137 submissions. They are organized in topical sections named: Part I: best ranked papers; machine learning; pattern recognition; image processing and representation. Part II: biometrics; handwriting and document analysis; other applications. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1–4, 2019, Proceedings, Part I [documento electrónico] / Morales, Aythami, ; Fierrez, Julian, ; Sánchez, José Salvador, ; Ribeiro, Bernardete, . - 1 ed. . - [s.l.] : Springer, 2019 . - XXXIII, 632 p. 297 ilustraciones, 247 ilustraciones en color.
ISBN : 978-3-030-31332-6
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Inteligencia artificial Ordenador Sistemas de propósito especial y basados ​​en aplicaciones Estructuras aritméticas y lógicas Sistemas de reconocimiento de patrones Visión por computador Unidades aritméticas y lógicas informáticas. Reconocimiento Clasificación: 006.4 Resumen: Este conjunto de dos volúmenes constituye las actas arbitradas de la 9.ª Conferencia Ibérica sobre Reconocimiento de Patrones y Análisis de Imágenes, IbPRIA 2019, celebrada en Madrid, España, en julio de 2019. Los 99 artÃculos de estos volúmenes fueron cuidadosamente revisados ​​y seleccionados entre 137 presentaciones. Están organizados en secciones temáticas denominadas: Parte I: artÃculos mejor clasificados; aprendizaje automático; reconocimiento de patrones; procesamiento y representación de imágenes. Parte II: biometrÃa; análisis de escritura y documentos; otras aplicaciones. Nota de contenido: Best Ranked papers -- Towards a Joint Approach to Produce Decisions and Explanations Using CNNs -- Interactive-predictive neural multimodal systems -- Uncertainty estimation for black-box classification models: a use case for sentiment analysis -- Impact of ultrasound image reconstruction method on breast lesion classification with deep learning -- Segmentation of cell nuclei in fluorescence microscopy images using deep learning -- Food Recognition by Integrating Local and Flat Classifiers -- Machine Learning -- Combining Online Clustering and Rank Pooling Dynamics for Action Proposals -- On the Direction Guidance in Structure Tensor Total Variation Based Denoising -- Impact of Fused Visible-Infrared Video Streams on Visual Tracking -- Model Based Recursive Partitioning for Customized Price Optimization Analytics -- 3D Reconstruction of Archaeological Pottery from its Point Cloud -- Geometric interpretation of CNN's last layer -- Re-Weighted algorithms within the Lagrange duality framework: bringing interpretability to weights -- A note on Gradient-Based Intensity Normalization -- Blind Robust 3-D Mesh Watermarking based on Mesh Saliency and QIM quantization for Copyright Protection -- Using Copies to Remove Sensitive Data: A Case Study on Fair Superhero Alignment Prediction -- Weighted Multisource Tradaboost -- A proposal of neural networks with intermediate outputs -- Addressing the Big Data multi-class imbalance problem with oversampling and Deep Learning neural networks -- Reinforcement Learning and Neuroevolution in Flappy Bird Game -- Pattern Recognition -- Description and Recognition of Activity Patterns Using Sparse Vector Fields -- Instance Selection for the Nearest Neighbor Classifier Connecting the Performance to the Underlying Data Structure -- Modified DBSCAN algorithm for microscopic image analysis of wood -- Automatic Detection of Tuberculosis Bacilli from Microscopic Sputum Smear Images using Faster R-CNN, Transfer Learning and Augmentation -- Detection of stone circles in periglacial regions of Antarctica in UAV datasets -- Lesion Detection in Breast Ultrasound Images Using a Machine Learning Approach and Genetic Optimization -- Evaluating the Impact of Color Information in Deep Neural Networks -- Diatom classification including morphological adaptations using CNNs -- Deep Learning of Visual and Textual Data for Region Detection Applied to Item Coding -- Deep learning versus classic methods for multi-taxon diatom segmentation -- Estimation of Sulfonamides Concentration in Water based on Digital Colourimetry -- Characterization of cardiac and respiratory system of healthy subjects in supine and sitting position -- Automatic Fault Detection in a Cascaded Transformer Multilevel Inverter Using Pattern Recognition Techniques -- Collision anticipation via deep reinforcement learning for visual navigation -- Spectral band subset selection for discrimination of healthy skin and cutaneous Leishmanial ulcers -- Data Augmentation of Minority class with transfer learning for Classification of Imbalanced Breast Cancer Dataset using Inception V3 -- Image Processing and Representation -- Single-View Facial Hair 3D Reconstruction -- From Features to Attribute Graphs for Point Set Registration -- BELID: Boosted efficient local image descriptor -- A novel graph-based approach for seriation of mouse brain cross-section from images -- Class Reconstruction Driven Adversarial Domain Adaptation for Hyperspectral Image Classification -- Multi-Label Logo Classification using Convolutional Neural Networks -- Non-destructively prediction of quality parameters of drycured Iberian ham by applying computer vision and lowfield MRI -- Personalised aesthetics with residual adapters -- An Improvement for Capsule Networks using Depthwise Separable Convolution -- Wave Front Tracking in High Speed Videos Using a Dynamic Template Matching -- An Efficient Binary Descriptor to Describe Retinal Bifurcation Point for Image Registration -- Aggregation of deep features for image retrieval based on object detection -- Impact of Pre-Processing on Recognition of Cursive Video Text -- Image Feature Detection Based on Phase Congruency by Monogenic Filters with new Noise Estimation -- Texture Classification Using Capsule Networks -- Automatic vision based calibration system for planar cable-driven parallel robots -- 3D Non-rigid registration of Deformable object using GPU -- Focus estimation in academic environments using Computer Vision. Tipo de medio : Computadora Summary : This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, held in Madrid, Spain, in July 2019. The 99 papers in these volumes were carefully reviewed and selected from 137 submissions. They are organized in topical sections named: Part I: best ranked papers; machine learning; pattern recognition; image processing and representation. Part II: biometrics; handwriting and document analysis; other applications. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : 9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1–4, 2019, Proceedings, Part II Tipo de documento: documento electrónico Autores: Morales, Aythami, ; Fierrez, Julian, ; Sánchez, José Salvador, ; Ribeiro, Bernardete, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XXI, 534 p. 279 ilustraciones, 198 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-31321-0 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Visión por computador Sistemas de propósito especial y basados ​​en aplicaciones Estructuras aritméticas y lógicas Inteligencia artificial Reconocimiento de patrones automatizado Ordenador Sistemas de reconocimiento de patrones Unidades aritméticas Clasificación: 006.4 Resumen: Este conjunto de dos volúmenes constituye las actas arbitradas de la 9.ª Conferencia Ibérica sobre Reconocimiento de Patrones y Análisis de Imágenes, IbPRIA 2019, celebrada en Madrid, España, en julio de 2019. Los 99 artÃculos de estos volúmenes fueron cuidadosamente revisados ​​y seleccionados entre 137 presentaciones. Están organizados en secciones temáticas denominadas: Parte I: artÃculos mejor clasificados; aprendizaje automático; reconocimiento de patrones; procesamiento y representación de imágenes. Parte II: biometrÃa; análisis de escritura y documentos; otras aplicaciones. Nota de contenido: Biometrics -- What is the Role of Annotations in the Detection of Dermoscopic Structures? -- Keystroke Mobile Authentication: Performance of LongTerm Approaches and Combination with Behavioral-based Profiling -- Incremental Learning Techniques within a Self-updating Approach for Face Verification in Video-Surveillance -- Don't You Forget About Me: A Study on Long-Term Performance in ECG Biometrics -- Face Identification using Local Ternary Tree Pattern based Spatial Structural Components -- Catastrophic interference in Disguised Face Recognition -- Iris Center Localization Using Geodesic Distance and CNN -- Low-Light Face Image Enhancement based on Dynamic Face Part Selection -- Retinal Blood Vessel Segmentation: A semi-supervised approach -- Quality-based rPPG Heart Rate Estimation System for Driver Monitoring Using NIR Video Sequences -- Handwriting and Document Analysis -- Multi-Task Layout Analysis of Handwritten Musical Scores -- Domain Adaptation for Handwritten Symbol Recognition: A Case of Study in Old Music Manuscripts -- Approaching End-to-End Optical Music Recognition for Homophonic Scores -- Glyph and Position Classification of Music Symbols in Early Music Manuscripts -- Recognition of Arabic Handwritten Literal Amounts Using Deep Convolutional Neural Networks -- Offline Signature Verification using Textural Descriptors -- Pencil drawing of microscopic images through edge preserving filtering -- Line Segmentation Free Probabilistic Keyword Spotting and Indexing -- Other Applications -- Incremental Learning for Football Match Outcomes Prediction -- Frame by Frame Pain Estimation Using Locally Spatial Attention Learning -- Mosquito Larvae Image Classification based on DenseNet and Guided Grad-CAM -- Towards Automatic Rat's Gait Analysis Under Suboptimal Illumination Conditions -- Impact of Enhancement for Coronary Artery Segmentation Based on Deep Learning Neural Network -- Real-Time Traffic Monitoring with Occlusion Handling -- Image based estimation of fruit phytopathogenic lesions area -- A weakly-supervised approach for discovering common objects in airport video surveillance footage -- Standard Plenoptic Camera Calibration for a Range of Zoom and Focus Levels -- Going back to basics on volumetric segmentation of the lungs in CT: a fully image processing based technique -- Radiogenomics: Lung Cancer-Related Genes Mutation Status Prediction -- Learning to perform visual tasks from human demonstrations -- Serious Game Controlled by a Human-Computer Interface for Upper Limb Motor Rehabilitation: A Feasibility Study -- Weapon detection for particular scenarios using deep learning -- Hierarchical Deep Learning Approach for Plant Disease Detection -- An artificial vision based method for vehicle detection and classification in urban traffic -- Breaking Text-based CAPTCHA with Sparse Convolutional Neural Networks -- Image processing method for epidermal cells detection and measurement in Arabidopsis thaliana leaves -- User Modeling on Mobile Device based onFacial Clustering and Object Detection in Photos and Videos -- Gun and knife detection based on Faster R-CNN for video surveillance -- Painted Injection Moulded Part Surfaces -- A New Automatic Cancer Colony Forming Units Counting Method -- Deep Vesselness Measure from scale-space analysis of Hessian Matrix Eigenvalues -- Segmentation in Corridor Environments: Combining door and ceiling detection -- Development of a Fire Detection based on the Analysis of Video Data by means of Convolutional Neural Networks -- Towards automatic and robust particle tracking in microrheology studies -- Study of the impact of pre-processing applied to images acquired by the Cygno Experiment. Tipo de medio : Computadora Summary : This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, held in Madrid, Spain, in July 2019. The 99 papers in these volumes were carefully reviewed and selected from 137 submissions. They are organized in topical sections named: Part I: best ranked papers; machine learning; pattern recognition; image processing and representation. Part II: biometrics; handwriting and document analysis; other applications. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1–4, 2019, Proceedings, Part II [documento electrónico] / Morales, Aythami, ; Fierrez, Julian, ; Sánchez, José Salvador, ; Ribeiro, Bernardete, . - 1 ed. . - [s.l.] : Springer, 2019 . - XXI, 534 p. 279 ilustraciones, 198 ilustraciones en color.
ISBN : 978-3-030-31321-0
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Visión por computador Sistemas de propósito especial y basados ​​en aplicaciones Estructuras aritméticas y lógicas Inteligencia artificial Reconocimiento de patrones automatizado Ordenador Sistemas de reconocimiento de patrones Unidades aritméticas Clasificación: 006.4 Resumen: Este conjunto de dos volúmenes constituye las actas arbitradas de la 9.ª Conferencia Ibérica sobre Reconocimiento de Patrones y Análisis de Imágenes, IbPRIA 2019, celebrada en Madrid, España, en julio de 2019. Los 99 artÃculos de estos volúmenes fueron cuidadosamente revisados ​​y seleccionados entre 137 presentaciones. Están organizados en secciones temáticas denominadas: Parte I: artÃculos mejor clasificados; aprendizaje automático; reconocimiento de patrones; procesamiento y representación de imágenes. Parte II: biometrÃa; análisis de escritura y documentos; otras aplicaciones. Nota de contenido: Biometrics -- What is the Role of Annotations in the Detection of Dermoscopic Structures? -- Keystroke Mobile Authentication: Performance of LongTerm Approaches and Combination with Behavioral-based Profiling -- Incremental Learning Techniques within a Self-updating Approach for Face Verification in Video-Surveillance -- Don't You Forget About Me: A Study on Long-Term Performance in ECG Biometrics -- Face Identification using Local Ternary Tree Pattern based Spatial Structural Components -- Catastrophic interference in Disguised Face Recognition -- Iris Center Localization Using Geodesic Distance and CNN -- Low-Light Face Image Enhancement based on Dynamic Face Part Selection -- Retinal Blood Vessel Segmentation: A semi-supervised approach -- Quality-based rPPG Heart Rate Estimation System for Driver Monitoring Using NIR Video Sequences -- Handwriting and Document Analysis -- Multi-Task Layout Analysis of Handwritten Musical Scores -- Domain Adaptation for Handwritten Symbol Recognition: A Case of Study in Old Music Manuscripts -- Approaching End-to-End Optical Music Recognition for Homophonic Scores -- Glyph and Position Classification of Music Symbols in Early Music Manuscripts -- Recognition of Arabic Handwritten Literal Amounts Using Deep Convolutional Neural Networks -- Offline Signature Verification using Textural Descriptors -- Pencil drawing of microscopic images through edge preserving filtering -- Line Segmentation Free Probabilistic Keyword Spotting and Indexing -- Other Applications -- Incremental Learning for Football Match Outcomes Prediction -- Frame by Frame Pain Estimation Using Locally Spatial Attention Learning -- Mosquito Larvae Image Classification based on DenseNet and Guided Grad-CAM -- Towards Automatic Rat's Gait Analysis Under Suboptimal Illumination Conditions -- Impact of Enhancement for Coronary Artery Segmentation Based on Deep Learning Neural Network -- Real-Time Traffic Monitoring with Occlusion Handling -- Image based estimation of fruit phytopathogenic lesions area -- A weakly-supervised approach for discovering common objects in airport video surveillance footage -- Standard Plenoptic Camera Calibration for a Range of Zoom and Focus Levels -- Going back to basics on volumetric segmentation of the lungs in CT: a fully image processing based technique -- Radiogenomics: Lung Cancer-Related Genes Mutation Status Prediction -- Learning to perform visual tasks from human demonstrations -- Serious Game Controlled by a Human-Computer Interface for Upper Limb Motor Rehabilitation: A Feasibility Study -- Weapon detection for particular scenarios using deep learning -- Hierarchical Deep Learning Approach for Plant Disease Detection -- An artificial vision based method for vehicle detection and classification in urban traffic -- Breaking Text-based CAPTCHA with Sparse Convolutional Neural Networks -- Image processing method for epidermal cells detection and measurement in Arabidopsis thaliana leaves -- User Modeling on Mobile Device based onFacial Clustering and Object Detection in Photos and Videos -- Gun and knife detection based on Faster R-CNN for video surveillance -- Painted Injection Moulded Part Surfaces -- A New Automatic Cancer Colony Forming Units Counting Method -- Deep Vesselness Measure from scale-space analysis of Hessian Matrix Eigenvalues -- Segmentation in Corridor Environments: Combining door and ceiling detection -- Development of a Fire Detection based on the Analysis of Video Data by means of Convolutional Neural Networks -- Towards automatic and robust particle tracking in microrheology studies -- Study of the impact of pre-processing applied to images acquired by the Cygno Experiment. Tipo de medio : Computadora Summary : This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, held in Madrid, Spain, in July 2019. The 99 papers in these volumes were carefully reviewed and selected from 137 submissions. They are organized in topical sections named: Part I: best ranked papers; machine learning; pattern recognition; image processing and representation. Part II: biometrics; handwriting and document analysis; other applications. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Handbook of Biometric Anti-Spoofing : Presentation Attack Detection Tipo de documento: documento electrónico Autores: Marcel, Sébastien, ; Nixon, Mark S., ; Fierrez, Julian, ; Evans, Nicholas, Mención de edición: 2 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XX, 519 p. 140 ilustraciones, 112 ilustraciones en color. ISBN/ISSN/DL: 978-3-319-92627-8 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Computadoras digitales electrónicas Identificación biométrica Informática Estadistica matematica Rendimiento y evaluación del sistema BiometrÃa Probabilidad y EstadÃstica en Informática Clasificación: 004.24 Resumen: Este manual completo y autorizado es el trabajo definitivo sobre el estado actual del arte de la detección de ataques de presentación biométrica (PAD), también conocida como antisuplantación de identidad biométrica. Aprovechando el éxito de la edición pionera anterior, esta segunda edición completamente actualizada se ha ampliado considerablemente para brindar una cobertura aún mayor de los métodos PAD, abarcando sistemas biométricos basados ​​en reconocimiento facial, de huellas dactilares, de iris, de voz, de venas y de firmas. También se incluye nuevo material sobre los principales concursos PAD, bases de datos importantes para la investigación y sobre el impacto de la legislación internacional reciente. Una selección de expertos lÃderes en el campo proporciona información valiosa, completa con resultados de investigaciones reproducibles, respaldados por código fuente y más información disponible en un sitio web asociado. Temas y caracterÃsticas: Revisa los últimos desarrollos en PAD para biometrÃa de huellas dactilares, que cubren la tecnologÃa de tomografÃa de coherencia óptica (OCT) y cuestiones de interoperabilidad. Examina métodos para PAD en sistemas de reconocimiento de iris y la aplicación del reflejo de luz pupilar estimulado para este propósito. Analiza los avances en Métodos PAD para biometrÃa basada en reconocimiento facial, como investigaciones sobre máscaras faciales 3D y fotopletismografÃa remota (rPPG). Presenta un estudio de PAD para el reconocimiento automático de hablantes (ASV), incluido el uso de redes neuronales convolucionales (CNN), y una descripción general de bases de datos relevantes Describe los resultados arrojados por competencias clave sobre detección de huellas dactilares, detección de iris y anti-spoofing facial basado en software Proporciona análisis de PAD en reconocimiento de venas dactilares, verificación de firmas manuscritas en lÃnea y en tecnologÃas biométricas en dispositivos móviles Incluye cobertura de competencias internacionales estándares, las directivas PSDII y GDPR de la UE, y sobre diferentes perspectivas sobre la evaluación de ataques de presentación. Este texto/referencia es una lectura esencial para cualquier persona involucrada en la verificación de identidad biométrica, ya sean estudiantes, investigadores, profesionales, ingenieros o consultores de tecnologÃa. Aquellos nuevos en el campo también se beneficiarán de una serie de capÃtulos introductorios, que describen los conceptos básicos de la biometrÃa más importante. Nota de contenido: An Introduction to Fingerprint Presentation Attack Detection -- A Study of Hand-Crafted and Naturally-Learned Features for Fingerprint Presentation Attack Detection -- Optical Coherence Tomography for Fingerprint Presentation Attack Detection -- Interoperability among Capture Devices for Fingerprint Presentation Attacks Detection -- Review of Fingerprint Presentation Attack Detection Competitions -- Introduction to Iris Presentation Attack Detection -- Application of Dynamic Features of the Pupil for Iris Presentation Attack Detection -- Review of Iris Presentation Attack Detection Competitions -- Introduction to Face Presentation Attack Detection -- Recent Advances in Face Presentation Attack Detection -- Recent Progress on Face Anti-Spoofing against 3D Mask Attack -- Challenges of Face Presentation Attack Detection in Real Scenarios -- Remote Blood Pulse Analysis for Face Presentation Attack Detection -- Review of Face Presentation Attack Detection Competitions -- Introduction to Voice Presentation Attack Detection and Recent Advances -- A Cross-Database Study of Voice Presentation Attack Detection -- Voice Presentation Attack Detection Using Convolutional Neural Networks -- An Introduction to Vein Presentation Attacks and Detection -- Presentation Attacks in Signature Biometrics: Types and Introduction to Attack Detection -- Evaluation Methodologies for Biometric Presentation Attack Detection -- A Legal Perspective on the Relevance of Biometric Presentation Attack Detection (PAD) for Payment Services Under PSDII and the GDPR -- Standards for Biometric Presentation Attack Detection. Tipo de medio : Computadora Summary : This authoritative and comprehensive handbook is the definitive work on the current state of the art of Biometric Presentation Attack Detection (PAD) – also known as Biometric Anti-Spoofing. Building on the success of the previous, pioneering edition, this thoroughly updated second edition has been considerably expanded to provide even greater coverage of PAD methods, spanning biometrics systems based on face, fingerprint, iris, voice, vein, and signature recognition. New material is also included on major PAD competitions, important databases for research, and on the impact of recent international legislation. Valuable insights are supplied by a selection of leading experts in the field, complete with results from reproducible research, supported by source code and further information available at an associated website. Topics and features: Reviews the latest developments in PAD for fingerprint biometrics, covering optical coherence tomography (OCT) technology, and issues of interoperability Examines methods for PAD in iris recognition systems, and the application of stimulated pupillary light reflex for this purpose Discusses advancements in PAD methods for face recognition-based biometrics, such as research on 3D facial masks and remote photoplethysmography (rPPG) Presents a survey of PAD for automatic speaker recognition (ASV), including the use of convolutional neural networks (CNNs), and an overview of relevant databases Describes the results yielded by key competitions on fingerprint liveness detection, iris liveness detection, and software-based face anti-spoofing Provides analyses of PAD in fingervein recognition, online handwritten signature verification, and in biometric technologies on mobile devices Includes coverage of international standards, the E.U. PSDII and GDPR directives, and on different perspectives on presentation attack evaluation This text/reference is essential reading for anyone involved in biometric identity verification, be they students, researchers, practitioners, engineers, or technology consultants. Those new to the field will also benefit from a number of introductory chapters, outlining the basics for the most important biometrics. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Handbook of Biometric Anti-Spoofing : Presentation Attack Detection [documento electrónico] / Marcel, Sébastien, ; Nixon, Mark S., ; Fierrez, Julian, ; Evans, Nicholas, . - 2 ed. . - [s.l.] : Springer, 2019 . - XX, 519 p. 140 ilustraciones, 112 ilustraciones en color.
ISBN : 978-3-319-92627-8
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Computadoras digitales electrónicas Identificación biométrica Informática Estadistica matematica Rendimiento y evaluación del sistema BiometrÃa Probabilidad y EstadÃstica en Informática Clasificación: 004.24 Resumen: Este manual completo y autorizado es el trabajo definitivo sobre el estado actual del arte de la detección de ataques de presentación biométrica (PAD), también conocida como antisuplantación de identidad biométrica. Aprovechando el éxito de la edición pionera anterior, esta segunda edición completamente actualizada se ha ampliado considerablemente para brindar una cobertura aún mayor de los métodos PAD, abarcando sistemas biométricos basados ​​en reconocimiento facial, de huellas dactilares, de iris, de voz, de venas y de firmas. También se incluye nuevo material sobre los principales concursos PAD, bases de datos importantes para la investigación y sobre el impacto de la legislación internacional reciente. Una selección de expertos lÃderes en el campo proporciona información valiosa, completa con resultados de investigaciones reproducibles, respaldados por código fuente y más información disponible en un sitio web asociado. Temas y caracterÃsticas: Revisa los últimos desarrollos en PAD para biometrÃa de huellas dactilares, que cubren la tecnologÃa de tomografÃa de coherencia óptica (OCT) y cuestiones de interoperabilidad. Examina métodos para PAD en sistemas de reconocimiento de iris y la aplicación del reflejo de luz pupilar estimulado para este propósito. Analiza los avances en Métodos PAD para biometrÃa basada en reconocimiento facial, como investigaciones sobre máscaras faciales 3D y fotopletismografÃa remota (rPPG). Presenta un estudio de PAD para el reconocimiento automático de hablantes (ASV), incluido el uso de redes neuronales convolucionales (CNN), y una descripción general de bases de datos relevantes Describe los resultados arrojados por competencias clave sobre detección de huellas dactilares, detección de iris y anti-spoofing facial basado en software Proporciona análisis de PAD en reconocimiento de venas dactilares, verificación de firmas manuscritas en lÃnea y en tecnologÃas biométricas en dispositivos móviles Incluye cobertura de competencias internacionales estándares, las directivas PSDII y GDPR de la UE, y sobre diferentes perspectivas sobre la evaluación de ataques de presentación. Este texto/referencia es una lectura esencial para cualquier persona involucrada en la verificación de identidad biométrica, ya sean estudiantes, investigadores, profesionales, ingenieros o consultores de tecnologÃa. Aquellos nuevos en el campo también se beneficiarán de una serie de capÃtulos introductorios, que describen los conceptos básicos de la biometrÃa más importante. Nota de contenido: An Introduction to Fingerprint Presentation Attack Detection -- A Study of Hand-Crafted and Naturally-Learned Features for Fingerprint Presentation Attack Detection -- Optical Coherence Tomography for Fingerprint Presentation Attack Detection -- Interoperability among Capture Devices for Fingerprint Presentation Attacks Detection -- Review of Fingerprint Presentation Attack Detection Competitions -- Introduction to Iris Presentation Attack Detection -- Application of Dynamic Features of the Pupil for Iris Presentation Attack Detection -- Review of Iris Presentation Attack Detection Competitions -- Introduction to Face Presentation Attack Detection -- Recent Advances in Face Presentation Attack Detection -- Recent Progress on Face Anti-Spoofing against 3D Mask Attack -- Challenges of Face Presentation Attack Detection in Real Scenarios -- Remote Blood Pulse Analysis for Face Presentation Attack Detection -- Review of Face Presentation Attack Detection Competitions -- Introduction to Voice Presentation Attack Detection and Recent Advances -- A Cross-Database Study of Voice Presentation Attack Detection -- Voice Presentation Attack Detection Using Convolutional Neural Networks -- An Introduction to Vein Presentation Attacks and Detection -- Presentation Attacks in Signature Biometrics: Types and Introduction to Attack Detection -- Evaluation Methodologies for Biometric Presentation Attack Detection -- A Legal Perspective on the Relevance of Biometric Presentation Attack Detection (PAD) for Payment Services Under PSDII and the GDPR -- Standards for Biometric Presentation Attack Detection. Tipo de medio : Computadora Summary : This authoritative and comprehensive handbook is the definitive work on the current state of the art of Biometric Presentation Attack Detection (PAD) – also known as Biometric Anti-Spoofing. Building on the success of the previous, pioneering edition, this thoroughly updated second edition has been considerably expanded to provide even greater coverage of PAD methods, spanning biometrics systems based on face, fingerprint, iris, voice, vein, and signature recognition. New material is also included on major PAD competitions, important databases for research, and on the impact of recent international legislation. Valuable insights are supplied by a selection of leading experts in the field, complete with results from reproducible research, supported by source code and further information available at an associated website. Topics and features: Reviews the latest developments in PAD for fingerprint biometrics, covering optical coherence tomography (OCT) technology, and issues of interoperability Examines methods for PAD in iris recognition systems, and the application of stimulated pupillary light reflex for this purpose Discusses advancements in PAD methods for face recognition-based biometrics, such as research on 3D facial masks and remote photoplethysmography (rPPG) Presents a survey of PAD for automatic speaker recognition (ASV), including the use of convolutional neural networks (CNNs), and an overview of relevant databases Describes the results yielded by key competitions on fingerprint liveness detection, iris liveness detection, and software-based face anti-spoofing Provides analyses of PAD in fingervein recognition, online handwritten signature verification, and in biometric technologies on mobile devices Includes coverage of international standards, the E.U. PSDII and GDPR directives, and on different perspectives on presentation attack evaluation This text/reference is essential reading for anyone involved in biometric identity verification, be they students, researchers, practitioners, engineers, or technology consultants. Those new to the field will also benefit from a number of introductory chapters, outlining the basics for the most important biometrics. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications : 23rd Iberoamerican Congress, CIARP 2018, Madrid, Spain, November 19-22, 2018, Proceedings Tipo de documento: documento electrónico Autores: Vera-Rodriguez, Ruben, ; Fierrez, Julian, ; Morales, Aythami, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XXIII, 987 p. 566 ilustraciones, 272 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-13469-3 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Sistemas de reconocimiento de patrones Ordenador TecnologÃa de la información IngenierÃa de software Software de la aplicacion Red de computadoras TeorÃa de la codificación TeorÃa de la información Reconocimiento de patrones automatizado Aspectos Legales de la Computación Aplicaciones informáticas y de sistemas de información Redes de comunicación informática TeorÃa de la codificación y la información Clasificación: 006.4 Resumen: Este libro constituye las actas arbitradas posteriores a la conferencia del 23º Congreso Iberoamericano sobre Reconocimiento de Patrones, CIARP 2018, celebrado en Madrid, España, en noviembre de 2018. Los 112 artÃculos presentados fueron cuidadosamente revisados ​​y seleccionados entre 187 presentaciones. El programa estuvo compuesto por 6 sesiones orales. sobre los siguientes temas: aprendizaje automático, visión por computadora, clasificación, biometrÃa y aplicaciones médicas, y señales cerebrales, y también sobre: ​​análisis de textos y caracteres, interacción humana y análisis de sentimientos. Nota de contenido: Machine Learning -- Data Augmentation via Variational Auto-Encoders -- LSTM-based Multi-scale Model for WindSpeed Forecasting.-Using deep learning to classify class imbalanced gene-expression microarrays datasets.-A data representation approach to support imbalanced data classification beased in TWSVM -- Improving regression models by dissimilarity representation of bio-chemical data -- A Comparative Study on Unsupervised Domain Adaption for Coffee Crop Mapping -- Analytical Comparison of Histogram Distance Measures -- Gaussian processes regression with multiple annotors -- Linear projection learned from hybrid CKA for enhancing distance-based classifiers -- Evaluation of Bag-of-Word performance for time series classification using discriminative SIFT-based mid-level representations -- Color classification methods for perennial weed detection in cereal crops -- Hierarchical graph-based segmentation in detection of object-related regions -- Dealingwith heterogeneous Google Earth images on Building Area Detection task -- Evaluation of scale-aware realignments of hierarchical image segmentation. . Tipo de medio : Computadora Summary : This book constitutes the refereed post-conference proceedings of the 23rd Iberoamerican Congress on Pattern Recognition, CIARP 2018, held in Madrid, Spain, in November 2018 The 112 papers presented were carefully reviewed and selected from 187 submissions The program was comprised of 6 oral sessions on the following topics: machine learning, computer vision, classification, biometrics and medical applications, and brain signals, and also on: text and character analysis, human interaction, and sentiment analysis. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications : 23rd Iberoamerican Congress, CIARP 2018, Madrid, Spain, November 19-22, 2018, Proceedings [documento electrónico] / Vera-Rodriguez, Ruben, ; Fierrez, Julian, ; Morales, Aythami, . - 1 ed. . - [s.l.] : Springer, 2019 . - XXIII, 987 p. 566 ilustraciones, 272 ilustraciones en color.
ISBN : 978-3-030-13469-3
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Sistemas de reconocimiento de patrones Ordenador TecnologÃa de la información IngenierÃa de software Software de la aplicacion Red de computadoras TeorÃa de la codificación TeorÃa de la información Reconocimiento de patrones automatizado Aspectos Legales de la Computación Aplicaciones informáticas y de sistemas de información Redes de comunicación informática TeorÃa de la codificación y la información Clasificación: 006.4 Resumen: Este libro constituye las actas arbitradas posteriores a la conferencia del 23º Congreso Iberoamericano sobre Reconocimiento de Patrones, CIARP 2018, celebrado en Madrid, España, en noviembre de 2018. Los 112 artÃculos presentados fueron cuidadosamente revisados ​​y seleccionados entre 187 presentaciones. El programa estuvo compuesto por 6 sesiones orales. sobre los siguientes temas: aprendizaje automático, visión por computadora, clasificación, biometrÃa y aplicaciones médicas, y señales cerebrales, y también sobre: ​​análisis de textos y caracteres, interacción humana y análisis de sentimientos. Nota de contenido: Machine Learning -- Data Augmentation via Variational Auto-Encoders -- LSTM-based Multi-scale Model for WindSpeed Forecasting.-Using deep learning to classify class imbalanced gene-expression microarrays datasets.-A data representation approach to support imbalanced data classification beased in TWSVM -- Improving regression models by dissimilarity representation of bio-chemical data -- A Comparative Study on Unsupervised Domain Adaption for Coffee Crop Mapping -- Analytical Comparison of Histogram Distance Measures -- Gaussian processes regression with multiple annotors -- Linear projection learned from hybrid CKA for enhancing distance-based classifiers -- Evaluation of Bag-of-Word performance for time series classification using discriminative SIFT-based mid-level representations -- Color classification methods for perennial weed detection in cereal crops -- Hierarchical graph-based segmentation in detection of object-related regions -- Dealingwith heterogeneous Google Earth images on Building Area Detection task -- Evaluation of scale-aware realignments of hierarchical image segmentation. . Tipo de medio : Computadora Summary : This book constitutes the refereed post-conference proceedings of the 23rd Iberoamerican Congress on Pattern Recognition, CIARP 2018, held in Madrid, Spain, in November 2018 The 112 papers presented were carefully reviewed and selected from 187 submissions The program was comprised of 6 oral sessions on the following topics: machine learning, computer vision, classification, biometrics and medical applications, and brain signals, and also on: text and character analysis, human interaction, and sentiment analysis. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
