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Mitiche, Amar (79 results)
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: Used. pp. 256.
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Computational Analysis of Visual Motion (Paperback)
Published by Springer-Verlag New York Inc., New York, NY, 2013
ISBN 10: 1475797877 ISBN 13: 9781475797879
Language: English
Paperback. Condition: new. Paperback. Image motion processing is important to machine vision systems because it can lead to the recovery of 3D structure and motion. Author Amar Mitiche offers a comprehensive mathematical treatment of this key subject in visual systems research. Mitiche examines the interpretation of point correspondences as well as the interpretation of straight line correspondences and optical flow. In addition, the author considers interpretation by knowledge-based systems and presents the relevant mathematical basis for 3D interpretation. Image motion processing is important to machine vision systems because it can lead to the recovery of 3D structure and motion. In addition, the author considers interpretation by knowledge-based systems and presents the relevant mathematical basis for 3D interpretation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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US$ 116.06
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US$ 116.06
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US$ 117.78
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US$ 116.44
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US$ 116.33
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Add to basketCondition: Used. pp. 256 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
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US$ 126.22
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Computational Analysis of Visual Motion (Hardcover)
Published by Springer Science+Business Media, New York, 1994
ISBN 10: 030644786X ISBN 13: 9780306447860
Language: English
Hardcover. Condition: new. Hardcover. Image motion processing is important to machine vision systems because it can lead to the recovery of 3D structure and motion. Author Amar Mitiche offers a comprehensive mathematical treatment of this key subject in visual systems research. Mitiche examines the interpretation of point correspondences as well as the interpretation of straight line correspondences and optical flow. In addition, the author considers interpretation by knowledge-based systems and presents the relevant mathematical basis for 3D interpretation. Image motion processing is important to machine vision systems because it can lead to the recovery of 3D structure and motion. In addition, the author considers interpretation by knowledge-based systems and presents the relevant mathematical basis for 3D interpretation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Computer Vision Analysis of Image Motion by Variational Methods (Paperback)
Published by Springer International Publishing AG, Cham, 2016
ISBN 10: 3319375474 ISBN 13: 9783319375472
Language: English
Paperback. Condition: new. Paperback. This book presents a unified view of image motion analysis under the variational framework. Variational methods, rooted in physics and mechanics, but appearing in many other domains, such as statistics, control, and computer vision, address a problem from an optimization standpoint, i.e., they formulate it as the optimization of an objective function or functional. The methods of image motion analysis described in this book use the calculus of variations to minimize (or maximize) an objective functional which transcribes all of the constraints that characterize the desired motion variables. The book addresses the four core subjects of motion analysis: Motion estimation, detection, tracking, and three-dimensional interpretation. Each topic is covered in a dedicated chapter. The presentation is prefaced by an introductory chapter which discusses the purpose of motion analysis. Further, a chapter is included which gives the basic tools and formulae related to curvature, Euler Lagrange equations, unconstrained descent optimization, and level sets, that the variational image motion processing methods use repeatedly in the book. This book presents a unified view of image motion analysis under the variational framework. The methods of image motion analysis described in this book use the calculus of variations to minimize (or maximize) an objective functional which transcribes all of the constraints that characterize the desired motion variables. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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US$ 137.70
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Computational Analysis of Visual Motion (Advances in Computer Vision and Machine Intelligence)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 130.17
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Computer Vision Analysis of Image Motion by Variational Methods (Springer Topics in Signal Processing, 10)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Computational Analysis of Visual Motion (Advances in Computer Vision and Machine Intelligence)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 130.17
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Computer Vision Analysis of Image Motion by Variational Methods (Hardcover)
Published by Springer International Publishing AG, Cham, 2013
ISBN 10: 3319007106 ISBN 13: 9783319007106
Language: English
Hardcover. Condition: new. Hardcover. This book presents a unified view of image motion analysis under the variational framework. Variational methods, rooted in physics and mechanics, but appearing in many other domains, such as statistics, control, and computer vision, address a problem from an optimization standpoint, i.e., they formulate it as the optimization of an objective function or functional. The methods of image motion analysis described in this book use the calculus of variations to minimize (or maximize) an objective functional which transcribes all of the constraints that characterize the desired motion variables. The book addresses the four core subjects of motion analysis: Motion estimation, detection, tracking, and three-dimensional interpretation. Each topic is covered in a dedicated chapter. The presentation is prefaced by an introductory chapter which discusses the purpose of motion analysis. Further, a chapter is included which gives the basic tools and formulae related to curvature, Euler Lagrange equations, unconstrained descent optimization, and level sets, that the variational image motion processing methods use repeatedly in the book. This book presents a unified view of image motion analysis under the variational framework. The methods of image motion analysis described in this book use the calculus of variations to minimize (or maximize) an objective functional which transcribes all of the constraints that characterize the desired motion variables. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Computational Analysis of Visual Motion
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 130.16
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Computer Vision Analysis of Image Motion by Variational Methods (Springer Topics in Signal Processing, 10)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 135.01
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Variational and Level Set Methods in Image Segmentation (Paperback)
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2012
ISBN 10: 3642265626 ISBN 13: 9783642265624
Language: English
Paperback. Condition: new. Paperback. Image segmentation consists of dividing an image domain into disjoint regions according to a characterization of the image within or in-between the regions. Therefore, segmenting an image is to divide its domain into relevant components. The efficient solution of the key problems in image segmentation promises to enable a rich array of useful applications. The current major application areas include robotics, medical image analysis, remote sensing, scene understanding, and image database retrieval. The subject of this book is image segmentation by variational methods with a focus on formulations which use closed regular plane curves to define the segmentation regions and on a level set implementation of the corresponding active curve evolution algorithms. Each method is developed from an objective functional which embeds constraints on both the image domain partition of the segmentation and the image data within or in-between the partition regions. The necessary conditions to optimize the objective functional are then derived and solved numerically. The book covers, within the active curve and level set formalism, the basic two-region segmentation methods, multiregion extensions, region merging, image modeling, and motion based segmentation. To treat various important classes of images, modeling investigates several parametric distributions such as the Gaussian, Gamma, Weibull, and Wishart. It also investigates non-parametric models. In motion segmentation, both optical flow and the movement of real three-dimensional objects are studied. Image segmentation consists of dividing an image domain into disjoint regions according to a characterization of the image within or in-between the regions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Variational and Level Set Methods in Image Segmentation (Hardcover)
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2010
ISBN 10: 3642153518 ISBN 13: 9783642153518
Language: English
Hardcover. Condition: new. Hardcover. Image segmentation consists of dividing an image domain into disjoint regions according to a characterization of the image within or in-between the regions. Therefore, segmenting an image is to divide its domain into relevant components. The efficient solution of the key problems in image segmentation promises to enable a rich array of useful applications. The current major application areas include robotics, medical image analysis, remote sensing, scene understanding, and image database retrieval. The subject of this book is image segmentation by variational methods with a focus on formulations which use closed regular plane curves to define the segmentation regions and on a level set implementation of the corresponding active curve evolution algorithms. Each method is developed from an objective functional which embeds constraints on both the image domain partition of the segmentation and the image data within or in-between the partition regions. The necessary conditions to optimize the objective functional are then derived and solved numerically. The book covers, within the active curve and level set formalism, the basic two-region segmentation methods, multiregion extensions, region merging, image modeling, and motion based segmentation. To treat various important classes of images, modeling investigates several parametric distributions such as the Gaussian, Gamma, Weibull, and Wishart. It also investigates non-parametric models. In motion segmentation, both optical flow and the movement of real three-dimensional objects are studied. Image segmentation consists of dividing an image domain into disjoint regions according to a characterization of the image within or in-between the regions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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US$ 147.09
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Computational Analysis of Visual Motion
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Variational and Level Set Methods in Image Segmentation (Springer Topics in Signal Processing, 5)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 157.83
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