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Minimizing Dynamic and Higher Order Energy Functions Using Graph Cuts - Pushmeet Kohli
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ISBN: 9783838389097

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Over the last few years energy minimization has emerged as an indispensable tool in computer vision. The scale and form of computer vision problems introduce many challenges in energy minimization. This book focused on some aspects of these problems. The first problem it addresses relates to the efficient and exact minimization of groups of similar functions which are known to be solvable in polynomial time. A novel dynamic algorithm for minimizing such functions will be presented. This Over the last few years energy minimization has emerged as an indispensable tool in computer vision. The scale and form of computer vision problems introduce many challenges in energy minimization. This book focused on some aspects of these problems. The first problem it addresses relates to the efficient and exact minimization of groups of similar functions which are known to be solvable in polynomial time. A novel dynamic algorithm for minimizing such functions will be presented. This algorithm reuses computation from previous problem instances to solve new instances resulting in a substantial improvement in the running time. The second part of the book deals with the minimization of higher order functions which are able to model interactions among groups of random variables and can be used to formulate many vision problems. We will see how certain higher order energy functions can be minimized using the graph cut based expansion and swap move algorithms. The book presents results on the problems of interactive image segmentation, image segmentation in video, and human pose estimation and segmentation. Textbooks New, Books~~Mathematics~~Probability & Statistics~~General, Minimizing-Dynamic-and-Higher-Order-Energy-Functions-using-Graph-Cuts~~Pushmeet-Kohli, 999999999, Minimizing Dynamic and Higher Order Energy Functions Using Graph Cuts, Pushmeet Kohli, 3838389093, AV Akademikerverlag GmbH & Co. KG., , , , , AV Akademikerverlag GmbH & Co. KG.

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Minimizing Dynamic and Higher Order Energy Functions using Graph Cuts - Pushmeet Kohli
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Minimizing Dynamic and Higher Order Energy Functions using Graph Cuts - neues Buch

ISBN: 9783838389097

ID: 106446416

Over the last few years energy minimization has emerged as an indispensable tool in computer vision. The scale and form of computer vision problems introduce many challenges in energy minimization. This book focused on some aspects of these problems. The first problem it addresses relates to the efficient and exact minimization of groups of similar functions which are known to be solvable in polynomial time. A novel dynamic algorithm for minimizing such functions will be presented. This algorithm reuses computation from previous problem instances to solve new instances resulting in a substantial improvement in the running time. The second part of the book deals with the minimization of higher order functions which are able to model interactions among groups of random variables and can be used to formulate many vision problems. We will see how certain higher order energy functions can be minimized using the graph cut based expansion and swap move algorithms. The book presents results on the problems of interactive image segmentation, image segmentation in video, and human pose estimation and segmentation. Minimizing Dynamic and Higher Order Energy Functions using Graph Cuts Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, LAP Lambert Academic Publishing

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Minimizing Dynamic and Higher Order Energy Functions using Graph Cuts - Pushmeet Kohli
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Pushmeet Kohli:
Minimizing Dynamic and Higher Order Energy Functions using Graph Cuts - Taschenbuch

2010, ISBN: 3838389093

ID: 9612583549

[EAN: 9783838389097], Neubuch, [PU: Lap Lambert Acad. Publ. Jul 2010], This item is printed on demand - Print on Demand Titel. - Over the last few years energy minimization has emerged as an indispensable tool in computer vision. The scale and form of computer vision problems introduce many challenges in energy minimization. This book focused on some aspects of these problems. The first problem it addresses relates to the efficient and exact minimization of groups of similar functions which are known to be solvable in polynomial time. A novel dynamic algorithm for minimizing such functions will be presented. This algorithm reuses computation from previous problem instances to solve new instances resulting in a substantial improvement in the running time. The second part of the book deals with the minimization of higher order functions which are able to model interactions among groups of random variables and can be used to formulate many vision problems. We will see how certain higher order energy functions can be minimized using the graph cut based expansion and swap move algorithms. The book presents results on the problems of interactive image segmentation, image segmentation in video, and human pose estimation and segmentation. 152 pp. Englisch

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Minimizing Dynamic and Higher Order Energy Functions using Graph Cuts - Kohli, Pushmeet
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Kohli, Pushmeet:
Minimizing Dynamic and Higher Order Energy Functions using Graph Cuts - Taschenbuch

2010, ISBN: 9783838389097

[ED: Softcover], [PU: Lap Lambert Academic Publishing], Over the last few years energy minimization has emerged as an indispensable tool in computer vision. The scale and form of computer vision problems introduce many challenges in energy minimization. This book focused on some aspects of these problems. The first problem it addresses relates to the efficient and exact minimization of groups of similar functions which are known to be solvable in polynomial time. A novel dynamic algorithm for minimizing such functions will be presented. This algorithm reuses computation from previous problem instances to solve new instances resulting in a substantial improvement in the running time. The second part of the book deals with the minimization of higher order functions which are able to model interactions among groups of random variables and can be used to formulate many vision problems. We will see how certain higher order energy functions can be minimized using the graph cut based expansion and swap move algorithms. The book presents results on the problems of interactive image segmentation, image segmentation in video, and human pose estimation and segmentation. 2010. 152 S. Versandfertig in 3-5 Tagen, [SC: 0.00]

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Minimizing Dynamic and Higher Order Energy Functions using Graph Cuts - Kohli, Pushmeet
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Minimizing Dynamic and Higher Order Energy Functions using Graph Cuts - neues Buch

ISBN: 3838389093

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Minimizing Dynamic and Higher Order Energy Functions using Graph Cuts

Over the last few years energy minimization has emerged as an indispensable tool in computer vision. The scale and form of computer vision problems introduce many challenges in energy minimization. This book focused on some aspects of these problems. The first problem it addresses relates to the efficient and exact minimization of groups of similar functions which are known to be solvable in polynomial time. A novel dynamic algorithm for minimizing such functions will be presented. This algorithm reuses computation from previous problem instances to solve new instances resulting in a substantial improvement in the running time. The second part of the book deals with the minimization of higher order functions which are able to model interactions among groups of random variables and can be used to formulate many vision problems. We will see how certain higher order energy functions can be minimized using the graph cut based expansion and swap move algorithms. The book presents results on the problems of interactive image segmentation, image segmentation in video, and human pose estimation and segmentation.

Detailangaben zum Buch - Minimizing Dynamic and Higher Order Energy Functions using Graph Cuts


EAN (ISBN-13): 9783838389097
ISBN (ISBN-10): 3838389093
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: LAP Lambert Acad. Publ.
152 Seiten
Gewicht: 0,243 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 01.06.2007 17:00:46
Buch zuletzt gefunden am 23.06.2016 10:39:19
ISBN/EAN: 9783838389097

ISBN - alternative Schreibweisen:
3-8383-8909-3, 978-3-8383-8909-7


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