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Natural Image Statistics: A Probabilistic Approach to Early Computational Vision.: 39 (Computational Imaging and Vision) - Tapa blanda
Sinopsis
Aims and Scope This book is both an introductory textbook and a research monograph on modeling the statistical structure of natural images. In very simple terms, “natural images” are photographs of the typical environment where we live. In this book, their statistical structure is described using a number of statistical models whose parameters are estimated from image samples. Our main motivation for exploring natural image statistics is computational m- eling of biological visual systems. A theoretical framework which is gaining more and more support considers the properties of the visual system to be re?ections of the statistical structure of natural images because of evolutionary adaptation processes. Another motivation for natural image statistics research is in computer science and engineering, where it helps in development of better image processing and computer vision methods. While research on natural image statistics has been growing rapidly since the mid-1990s, no attempt has been made to cover the ?eld in a single book, providing a uni?ed view of the different models and approaches. This book attempts to do just that. Furthermore, our aim is to provide an accessible introduction to the ?eld for students in related disciplines.
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Acerca del autor
Charlotte y Peter Fiell son dos autoridades en historia, teoría y crítica del diseño y han escrito más de sesenta libros sobre la materia, muchos de los cuales se han convertido en éxitos de ventas. También han impartido conferencias y cursos como profesores invitados, han comisariado exposiciones y asesorado a fabricantes, museos, salas de subastas y grandes coleccionistas privados de todo el mundo. Los Fiell han escrito numerosos libros para TASCHEN, entre los que se incluyen 1000 Chairs, Diseño del siglo XX, El diseño industrial de la A a la Z, Scandinavian Design y Diseño del siglo XXI.
De la contraportada
One of the most successful frameworks in computational neuroscience is modelling visual processing using the statistical structure of natural images. In this framework, the visual system of the brain constructs a model of the statistical regularities of the incoming visual data. This enables the visual system to perform efficient probabilistic inference. The same framework is also very useful in engineering applications such as image processing and computer vision.
This book is the first comprehensive introduction to the multidisciplinary field of natural image statistics and its intention is to present a general theory of early vision and image processing in a manner that can be approached by readers from a variety of scientific backgrounds. A wealth of relevant background material is presented in the first section as an introduction to the subject. Following this are five unique sections, carefully selected so as to give a clear overview of all the basic theory, as well as the most recent developments and research. This structure, together with the included exercises and computer assignments, also make it an excellent textbook.
Natural Image Statistics is a timely and valuable resource for advanced students and researchers in any discipline related to vision, such as neuroscience, computer science, psychology, electrical engineering, cognitive science or statistics.
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Natural Image Statistics: A Probabilistic Approach to Early Computational Vision. (Computational Imaging and Vision, 39)
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Natural Image Statistics: A Probabilistic Approach to Early Computational Vision.
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Springer London Ltd, 2010
ISBN 10: 1849968446
ISBN 13: 9781849968447
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Natural Image Statistics
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Very first book on this topicAccessible to a wide audience from different disciplinesTopic is very timely and of increasing importanceAims and Scope This book is both an introductory textbook and a research monograph on modeling the. Nº de ref. del artículo: 4288912
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Hyv?rinen:Natural Image Statistics (eng)
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Natural Image Statistics
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Springer London Okt 2010, 2010
ISBN 10: 1849968446
ISBN 13: 9781849968447
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Aims and Scope This book is both an introductory textbook and a research monograph on modeling the statistical structure of natural images. In very simple terms, 'natural images' are photographs of the typical environment where we live. In this book, their statistical structure is described using a number of statistical models whose parameters are estimated from image samples. Our main motivation for exploring natural image statistics is computational m- eling of biological visual systems. A theoretical framework which is gaining more and more support considers the properties of the visual system to be re ections of the statistical structure of natural images because of evolutionary adaptation processes. Another motivation for natural image statistics research is in computer science and engineering, where it helps in development of better image processing and computer vision methods. While research on natural image statistics has been growing rapidly since the mid-1990s, no attempt has been made to cover the eld in a single book, providing a uni ed view of the different models and approaches. This book attempts to do just that. Furthermore, our aim is to provide an accessible introduction to the eld for students in related disciplines. 468 pp. Englisch. Nº de ref. del artículo: 9781849968447
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Natural Image Statistics : A Probabilistic Approach to Early Computational Vision.
Publicado por
Springer London, Springer London, 2010
ISBN 10: 1849968446
ISBN 13: 9781849968447
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Aims and Scope This book is both an introductory textbook and a research monograph on modeling the statistical structure of natural images. In very simple terms, 'natural images' are photographs of the typical environment where we live. In this book, their statistical structure is described using a number of statistical models whose parameters are estimated from image samples. Our main motivation for exploring natural image statistics is computational m- eling of biological visual systems. A theoretical framework which is gaining more and more support considers the properties of the visual system to be re ections of the statistical structure of natural images because of evolutionary adaptation processes. Another motivation for natural image statistics research is in computer science and engineering, where it helps in development of better image processing and computer vision methods. While research on natural image statistics has been growing rapidly since the mid-1990s, no attempt has been made to cover the eld in a single book, providing a uni ed view of the different models and approaches. This book attempts to do just that. Furthermore, our aim is to provide an accessible introduction to the eld for students in related disciplines. Nº de ref. del artículo: 9781849968447
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Natural Image Statistics: A Probabilistic Approach to Early Computational Vision. (Computational Imaging and Vision, 39)
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Natural Image Statistics
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Springer London, Springer London Okt 2010, 2010
ISBN 10: 1849968446
ISBN 13: 9781849968447
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -Aims and Scope This book is both an introductory textbook and a research monograph on modeling the statistical structure of natural images. In very simple terms, ¿natural images¿ are photographs of the typical environment where we live. In this book, their statistical structure is described using a number of statistical models whose parameters are estimated from image samples. Our main motivation for exploring natural image statistics is computational m- eling of biological visual systems. A theoretical framework which is gaining more and more support considers the properties of the visual system to be re ections of the statistical structure of natural images because of evolutionary adaptation processes. Another motivation for natural image statistics research is in computer science and engineering, where it helps in development of better image processing and computer vision methods. While research on natural image statistics has been growing rapidly since the mid-1990s, no attempt has been made to cover the eld in a single book, providing a uni ed view of the different models and approaches. This book attempts to do just that. Furthermore, our aim is to provide an accessible introduction to the eld for students in related disciplines.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 468 pp. Englisch. Nº de ref. del artículo: 9781849968447
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Natural Image Statistics: A Probabilistic Approach to Early Computational Vision. (Computational Imaging and Vision, 39)
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Natural Image Statistics
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Condición: New. pp. 470. Nº de ref. del artículo: 2614418667
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