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Título : Computer Vision Using Local Binary Patterns Tipo de documento: documento electrónico Autores: Pietikäinen, Matti ; SpringerLink (Online service) ; Abdenour Hadid ; Guoying Zhao ; Timo Ahonen Editorial: London : Springer London Fecha de publicación: 2011 Otro editor: Imprint: Springer Colección: Computational Imaging and Vision, ISSN 1381-6446 num. 40 Número de páginas: XVI, 212 p Il.: online resource ISBN/ISSN/DL: 978-0-85729-748-8 Idioma : Inglés (eng) Palabras clave: Mathematics Computer graphics Image processing Pattern recognition Biometrics (Biology) Mathematics, general Imaging, Vision, Recognition and Graphics Processing Vision Signal, Speech Clasificación: 51 Matemáticas Resumen: The recent emergence of Local Binary Patterns (LBP) has led to significant progress in applying texture methods to various computer vision problems and applications. The focus of this research has broadened from 2D textures to 3D textures and spatiotemporal (dynamic) textures. Also, where texture was once utilized for applications such as remote sensing, industrial inspection and biomedical image analysis, the introduction of LBP-based approaches have provided outstanding results in problems relating to face and activity analysis, with future scope for face and facial expression recognition, biometrics, visual surveillance and video analysis. Computer Vision Using Local Binary Patterns provides a detailed description of the LBP methods and their variants both in spatial and spatiotemporal domains. This comprehensive reference also provides an excellent overview as to how texture methods can be utilized for solving different kinds of computer vision and image analysis problems. Source codes of the basic LBP algorithms, demonstrations, some databases and a comprehensive LBP bibliography can be found from an accompanying web site. Topics include: - Local binary patterns and their variants in spatial and spatiotemporal domains - Texture classification and segmentation, description of interest regions - Applications in image retrieval and 3D recognition - Recognition and segmentation of dynamic textures - Background subtraction, recognition of actions - Face analysis using still images and image sequences, visual speech recognition - LBP in various applications Written by pioneers of LBP, this book is an essential resource for researchers, professional engineers and graduate students in computer vision, image analysis and pattern recognition. The book will also be of interest to all those who work with specific applications of machine vision Nota de contenido: Background -- Local binary patterns for still images -- Spatiotemporal LBP -- Texture classification and segmentation -- Description of interest regions -- Applications in image retrieval and 3D recognition -- Recognition and segmentation of dynamic textures -- Background subtraction -- Recognition of actions -- Face analysis using still images -- Face analysis using image sequences -- Visual recognition of spoken phrases -- LBP in different applications En línea: http://dx.doi.org/10.1007/978-0-85729-748-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33135 Computer Vision Using Local Binary Patterns [documento electrónico] / Pietikäinen, Matti ; SpringerLink (Online service) ; Abdenour Hadid ; Guoying Zhao ; Timo Ahonen . - London : Springer London : Imprint: Springer, 2011 . - XVI, 212 p : online resource. - (Computational Imaging and Vision, ISSN 1381-6446; 40) .
ISBN : 978-0-85729-748-8
Idioma : Inglés (eng)
Palabras clave: Mathematics Computer graphics Image processing Pattern recognition Biometrics (Biology) Mathematics, general Imaging, Vision, Recognition and Graphics Processing Vision Signal, Speech Clasificación: 51 Matemáticas Resumen: The recent emergence of Local Binary Patterns (LBP) has led to significant progress in applying texture methods to various computer vision problems and applications. The focus of this research has broadened from 2D textures to 3D textures and spatiotemporal (dynamic) textures. Also, where texture was once utilized for applications such as remote sensing, industrial inspection and biomedical image analysis, the introduction of LBP-based approaches have provided outstanding results in problems relating to face and activity analysis, with future scope for face and facial expression recognition, biometrics, visual surveillance and video analysis. Computer Vision Using Local Binary Patterns provides a detailed description of the LBP methods and their variants both in spatial and spatiotemporal domains. This comprehensive reference also provides an excellent overview as to how texture methods can be utilized for solving different kinds of computer vision and image analysis problems. Source codes of the basic LBP algorithms, demonstrations, some databases and a comprehensive LBP bibliography can be found from an accompanying web site. Topics include: - Local binary patterns and their variants in spatial and spatiotemporal domains - Texture classification and segmentation, description of interest regions - Applications in image retrieval and 3D recognition - Recognition and segmentation of dynamic textures - Background subtraction, recognition of actions - Face analysis using still images and image sequences, visual speech recognition - LBP in various applications Written by pioneers of LBP, this book is an essential resource for researchers, professional engineers and graduate students in computer vision, image analysis and pattern recognition. The book will also be of interest to all those who work with specific applications of machine vision Nota de contenido: Background -- Local binary patterns for still images -- Spatiotemporal LBP -- Texture classification and segmentation -- Description of interest regions -- Applications in image retrieval and 3D recognition -- Recognition and segmentation of dynamic textures -- Background subtraction -- Recognition of actions -- Face analysis using still images -- Face analysis using image sequences -- Visual recognition of spoken phrases -- LBP in different applications En línea: http://dx.doi.org/10.1007/978-0-85729-748-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33135 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Mathematical Methods for Signal and Image Analysis and Representation / SpringerLink (Online service) ; Luc Florack ; Remco Duits ; Geurt Jongbloed ; Marie-Colette van Lieshout ; Laurie Davies (2012)
Título : Mathematical Methods for Signal and Image Analysis and Representation Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Luc Florack ; Remco Duits ; Geurt Jongbloed ; Marie-Colette van Lieshout ; Laurie Davies Editorial: London : Springer London Fecha de publicación: 2012 Colección: Computational Imaging and Vision, ISSN 1381-6446 num. 41 Número de páginas: XII, 320 p Il.: online resource ISBN/ISSN/DL: 978-1-4471-2353-8 Idioma : Inglés (eng) Palabras clave: Mathematics Image processing Computer science mathematics Mathematics, general Processing and Vision Mathematical Applications in Science Clasificación: 51 Matemáticas Resumen: Mathematical Methods for Signal and Image Analysis and Representation presents the mathematical methodology for generic image analysis tasks. In the context of this book an image may be any m-dimensional empirical signal living on an n-dimensional smooth manifold (typically, but not necessarily, a subset of spacetime). The existing literature on image methodology is rather scattered and often limited to either a deterministic or a statistical point of view. In contrast, this book brings together these seemingly different points of view in order to stress their conceptual relations and formal analogies. Furthermore, it does not focus on specific applications, although some are detailed for the sake of illustration, but on the methodological frameworks on which such applications are built, making it an ideal companion for those seeking a rigorous methodological basis for specific algorithms as well as for those interested in the fundamental methodology per se. Covering many topics at the forefront of current research, including anisotropic diffusion filtering of tensor fields, this book will be of particular interest to graduate and postgraduate students and researchers in the fields of computer vision, medical imaging and visual perception Nota de contenido: A Short Introduction to Diffusion-like Methods -- Adaptive Filtering using Channel Representations -- 3D-Coherence-Enhancing Diffusion Filtering for Matrix Fields -- Structural Adaptive Smoothing: Principles and Applications in Imaging -- SPD Tensors Regularization via Iwasawa Decomposition -- Sparse Representation of Video Data by Adaptive Tetrahedralizations -- Continuous Diffusion Wavelet Transforms and Scale Space over Euclidean Spaces and Noncommutative Lie Groups -- Left Invariant Evolution Equations on Gabor Transforms -- Scale Space Representations Locally Adapted to the Geometry of Base and Target Manifold -- An A Priori Model of Line Propagation -- Local Statistics on Shape Diffeomorphisms using a Depth Potential Function -- Preserving Time Structures while Denoising a Dynamical Image -- Interacting Adaptive Filters for Multiple Objects Detection -- Visual Data Recognition and Modeling based on Local Markovian Models -- Locally Specified Polygonal Markov Fields for Image Segmentation -- Regularization with Approximated L2 Maximum Entropy Method. En línea: http://dx.doi.org/10.1007/978-1-4471-2353-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32719 Mathematical Methods for Signal and Image Analysis and Representation [documento electrónico] / SpringerLink (Online service) ; Luc Florack ; Remco Duits ; Geurt Jongbloed ; Marie-Colette van Lieshout ; Laurie Davies . - London : Springer London, 2012 . - XII, 320 p : online resource. - (Computational Imaging and Vision, ISSN 1381-6446; 41) .
ISBN : 978-1-4471-2353-8
Idioma : Inglés (eng)
Palabras clave: Mathematics Image processing Computer science mathematics Mathematics, general Processing and Vision Mathematical Applications in Science Clasificación: 51 Matemáticas Resumen: Mathematical Methods for Signal and Image Analysis and Representation presents the mathematical methodology for generic image analysis tasks. In the context of this book an image may be any m-dimensional empirical signal living on an n-dimensional smooth manifold (typically, but not necessarily, a subset of spacetime). The existing literature on image methodology is rather scattered and often limited to either a deterministic or a statistical point of view. In contrast, this book brings together these seemingly different points of view in order to stress their conceptual relations and formal analogies. Furthermore, it does not focus on specific applications, although some are detailed for the sake of illustration, but on the methodological frameworks on which such applications are built, making it an ideal companion for those seeking a rigorous methodological basis for specific algorithms as well as for those interested in the fundamental methodology per se. Covering many topics at the forefront of current research, including anisotropic diffusion filtering of tensor fields, this book will be of particular interest to graduate and postgraduate students and researchers in the fields of computer vision, medical imaging and visual perception Nota de contenido: A Short Introduction to Diffusion-like Methods -- Adaptive Filtering using Channel Representations -- 3D-Coherence-Enhancing Diffusion Filtering for Matrix Fields -- Structural Adaptive Smoothing: Principles and Applications in Imaging -- SPD Tensors Regularization via Iwasawa Decomposition -- Sparse Representation of Video Data by Adaptive Tetrahedralizations -- Continuous Diffusion Wavelet Transforms and Scale Space over Euclidean Spaces and Noncommutative Lie Groups -- Left Invariant Evolution Equations on Gabor Transforms -- Scale Space Representations Locally Adapted to the Geometry of Base and Target Manifold -- An A Priori Model of Line Propagation -- Local Statistics on Shape Diffeomorphisms using a Depth Potential Function -- Preserving Time Structures while Denoising a Dynamical Image -- Interacting Adaptive Filters for Multiple Objects Detection -- Visual Data Recognition and Modeling based on Local Markovian Models -- Locally Specified Polygonal Markov Fields for Image Segmentation -- Regularization with Approximated L2 Maximum Entropy Method. En línea: http://dx.doi.org/10.1007/978-1-4471-2353-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32719 Ejemplares
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Título : The Theory of the Moiré Phenomenon : Volume I: Periodic Layers Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Isaac Amidror Editorial: London : Springer London Fecha de publicación: 2009 Otro editor: Imprint: Springer Colección: Computational Imaging and Vision, ISSN 1381-6446 num. 38 Número de páginas: XVIII, 529 p Il.: online resource ISBN/ISSN/DL: 978-1-84882-181-1 Idioma : Inglés (eng) Palabras clave: Mathematics Image processing Fourier analysis Applied mathematics Engineering Optics Optoelectronics Plasmons (Physics) Analysis Optics, Optoelectronics, Plasmonics and Optical Devices Processing Computer Vision Applications of Clasificación: 51 Matemáticas Resumen: This is a new, revised and updated edition of the original book by Isaac Amidror. It presents the most comprehensive and methodical work on the theory of the moiré phenomenon, providing a full general-purpose and application-independent exposition of this fascinating effect. Based on the Fourier theory, it leads the reader through the various phenomena which occur in the superposition of repetitive layers, both in the image and in the spectral domains. The first chapters of the book present the basic theory which covers the superposition of monochrome, periodic layers. In later chapters the theory is extended to the even more interesting cases of polychromatic moirés and moirés between repetitive, non-periodic layers. Throughout the whole text the book favours a pictorial, intuitive approach which is supported by mathematics, and the discussion is accompanied by a large number of figures and illustrative examples, some of which are visually attractive and even spectacular. This book is intended for students, scientists, engineers and any readers who wish to widen their knowledge of the moiré effect. It also offers a beautiful demonstration of the Fourier theory and its relationship with other fields of mathematics and science. The prerequisite mathematical background is limited to an elementary familiarity with calculus and with the Fourier theory Nota de contenido: Background and basic notions -- Moiré minimization -- The moiré profile form and intensity levels -- The algebraic foundation of the spectrum properties -- Fourier-based interpretation of the algebraic spectrum properties -- The superposition phase -- Macro- and microstructures in the superposition -- Polychromatic moiré effects -- Moirés between repetitive, non-periodic layers -- Other possible approaches for moiré analysis En línea: http://dx.doi.org/10.1007/978-1-84882-181-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33984 The Theory of the Moiré Phenomenon : Volume I: Periodic Layers [documento electrónico] / SpringerLink (Online service) ; Isaac Amidror . - London : Springer London : Imprint: Springer, 2009 . - XVIII, 529 p : online resource. - (Computational Imaging and Vision, ISSN 1381-6446; 38) .
ISBN : 978-1-84882-181-1
Idioma : Inglés (eng)
Palabras clave: Mathematics Image processing Fourier analysis Applied mathematics Engineering Optics Optoelectronics Plasmons (Physics) Analysis Optics, Optoelectronics, Plasmonics and Optical Devices Processing Computer Vision Applications of Clasificación: 51 Matemáticas Resumen: This is a new, revised and updated edition of the original book by Isaac Amidror. It presents the most comprehensive and methodical work on the theory of the moiré phenomenon, providing a full general-purpose and application-independent exposition of this fascinating effect. Based on the Fourier theory, it leads the reader through the various phenomena which occur in the superposition of repetitive layers, both in the image and in the spectral domains. The first chapters of the book present the basic theory which covers the superposition of monochrome, periodic layers. In later chapters the theory is extended to the even more interesting cases of polychromatic moirés and moirés between repetitive, non-periodic layers. Throughout the whole text the book favours a pictorial, intuitive approach which is supported by mathematics, and the discussion is accompanied by a large number of figures and illustrative examples, some of which are visually attractive and even spectacular. This book is intended for students, scientists, engineers and any readers who wish to widen their knowledge of the moiré effect. It also offers a beautiful demonstration of the Fourier theory and its relationship with other fields of mathematics and science. The prerequisite mathematical background is limited to an elementary familiarity with calculus and with the Fourier theory Nota de contenido: Background and basic notions -- Moiré minimization -- The moiré profile form and intensity levels -- The algebraic foundation of the spectrum properties -- Fourier-based interpretation of the algebraic spectrum properties -- The superposition phase -- Macro- and microstructures in the superposition -- Polychromatic moiré effects -- Moirés between repetitive, non-periodic layers -- Other possible approaches for moiré analysis En línea: http://dx.doi.org/10.1007/978-1-84882-181-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33984 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
