Data Segmentation and Model Selection for Computer Vision
. Ed(s): Bab-Hadiashar, Alireza; Suter, David
ISBN 10: 1468495089 ISBN 13: 9781468495089
Verlag: Springer-Verlag New York Inc., 2012
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Editor(s): Bab-Hadiashar, Alireza; Suter, David. Num Pages: 208 pages, biography. BIC Classification: UYQP. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 12. Weight in Grams: 361. . 2012. Softcover reprint of the original 1st ed. 2000. Paperback. . . . . Bestandsnummer des Verkäufers V9781468495089
Inhaltsangabe:
The problem of range and motion segmentation is of major importance in computer vision, image procession, and intelligent robotics. This edited volume explores several issues relating to parametric segmentation emphasizing robust techniques and model selection. With contributions from leading scientists and engineers in the field, this book is a valuable resource for researchers and graduate students working in computer vision, pattern recognition, image processing and robotics.
Reseña del editor: This edited volume explores several issues relating to parametric segmentation including robust operations, model selection criteria and automatic model selection, plus 2D and 3D scene segmentation. Emphasis is placed on robust model selection with techniques such as robust Mallows Cp, least K-th order statistical model fitting (LKS), and robust regression receiving much attention. With contributions from leading researchers, this is a valuable resource for researchers and graduated students working in computer vision, pattern recognition, image processing and robotics.
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Titel: Data Segmentation and Model Selection for ...
Verlag: Springer-Verlag New York Inc.
Erscheinungsdatum: 2012
Einband: Softcover
Zustand: New
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Data Segmentation and Model Selection for Computer Vision
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This edited volume explores several issues relating to parametric segmentation including robust operations, model selection criteria and automatic model selection, plus 2D and 3D scene segmentation. Emphasis is placed on robust model selection with techniqu. Bestandsnummer des Verkäufers 4205305
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Data Segmentation and Model Selection for Computer Vision: A Statistical Approach
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Data Segmentation and Model Selection for Computer Vision
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This edited volume explores several issues relating to parametric segmentation including robust operations, model selection criteria and automatic model selection, plus 2D and 3D scene segmentation. Emphasis is placed on robust model selection with techniques such as robust Mallows Cp, least K-th order statistical model fitting (LKS), and robust regression receiving much attention. With contributions from leading researchers, this is a valuable resource for researchers and graduated students working in computer vision, pattern recognition, image processing and robotics. 232 pp. Englisch. Bestandsnummer des Verkäufers 9781468495089
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Data Segmentation and Model Selection for Computer Vision
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Springer New York, Springer US Aug 2012, 2012
ISBN 10: 1468495089
ISBN 13: 9781468495089
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The primary focus of this book is on techniques for segmentation of visual data. By 'visual data,' we mean data derived from a single image or from a sequence of images. By 'segmentation' we mean breaking the visual data into meaningful parts or segments. However, in general, we do not mean 'any old data': but data fundamental to the operation of robotic devices such as the range to and motion of objects in a scene. Having said that, much of what is covered in this book is far more general: The above merely describes our driving interests. The central emphasis of this book is that segmentation involves model fitting. We believe this to be true either implicitly (as a conscious or sub conscious guiding principle of those who develop various approaches) or explicitly. What makes model-fitting in computer vision especially hard There are a number of factors involved in answering this question. The amount of data involved is very large. The number of segments and types (models) are not known in advance (and can sometimes rapidly change over time). The sensors we have involve the introduction of noise. Usually, we require fast ('real-time' or near real-time) computation of solutions independent of any human intervention/supervision. Chapter 1 summarizes many of the attempts of computer vision researchers to solve the problem of segmenta tion in these difficult circumstances.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 232 pp. Englisch. Bestandsnummer des Verkäufers 9781468495089
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Data Segmentation and Model Selection for Computer Vision : A Statistical Approach
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Data Segmentation and Model Selection for Computer Vision (Paperback)
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Paperback. Zustand: new. Paperback. The primary focus of this book is on techniques for segmentation of visual data. By "visual data," we mean data derived from a single image or from a sequence of images. By "segmentation" we mean breaking the visual data into meaningful parts or segments. However, in general, we do not mean "any old data": but data fundamental to the operation of robotic devices such as the range to and motion of objects in a scene. Having said that, much of what is covered in this book is far more general: The above merely describes our driving interests. The central emphasis of this book is that segmentation involves model fitting. We believe this to be true either implicitly (as a conscious or sub conscious guiding principle of those who develop various approaches) or explicitly. What makes model-fitting in computer vision especially hard? There are a number of factors involved in answering this question. The amount of data involved is very large. The number of segments and types (models) are not known in advance (and can sometimes rapidly change over time). The sensors we have involve the introduction of noise. Usually, we require fast ("real-time" or near real-time) computation of solutions independent of any human intervention/supervision. Chapter 1 summarizes many of the attempts of computer vision researchers to solve the problem of segmenta tion in these difficult circumstances. The primary focus of this book is on techniques for segmentation of visual data. By "visual data," we mean data derived from a single image or from a sequence of images. By "segmentation" we mean breaking the visual data into meaningful parts or segments. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781468495089
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Data Segmentation and Model Selection for Computer Vision : A Statistical Approach
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The primary focus of this book is on techniques for segmentation of visual data. By 'visual data,' we mean data derived from a single image or from a sequence of images. By 'segmentation' we mean breaking the visual data into meaningful parts or segments. However, in general, we do not mean 'any old data': but data fundamental to the operation of robotic devices such as the range to and motion of objects in a scene. Having said that, much of what is covered in this book is far more general: The above merely describes our driving interests. The central emphasis of this book is that segmentation involves model fitting. We believe this to be true either implicitly (as a conscious or sub conscious guiding principle of those who develop various approaches) or explicitly. What makes model-fitting in computer vision especially hard There are a number of factors involved in answering this question. The amount of data involved is very large. The number of segments and types (models) are not known in advance (and can sometimes rapidly change over time). The sensors we have involve the introduction of noise. Usually, we require fast ('real-time' or near real-time) computation of solutions independent of any human intervention/supervision. Chapter 1 summarizes many of the attempts of computer vision researchers to solve the problem of segmenta tion in these difficult circumstances. Bestandsnummer des Verkäufers 9781468495089
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Data Segmentation and Model Selection for Computer Vision: A Statistical Approach
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Data Segmentation and Model Selection for Computer Vision: A Statistical Approach
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