Full Product Details
Author: Nikos Paragios ,
Yunmei Chen ,
Olivier D. Faugeras
Publisher: Springer-Verlag New York Inc.
Imprint: Springer-Verlag New York Inc.
Edition: 1st ed. Softcover of orig. ed. 2006
Dimensions:
Width: 15.50cm
, Height: 3.20cm
, Length: 23.50cm
Weight: 0.967kg
ISBN: 9781441938855
ISBN 10: 1441938850
Pages: 606
Publication Date: 29 October 2010
Audience:
Professional and scholarly
,
Professional and scholarly
,
Professional & Vocational
,
Postgraduate, Research & Scholarly
Format: Paperback
Publisher's Status: Active
Availability: In Print
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Reviews
The field covered by Computer Vision has become so broad that it is almost impossible to understand what is going on and to keep track of the latest developments. To (partially) overcome this problem, the editors of the Handbook of Mathematical Models in Computer Vision have done a great job. Each chapter gives a general introduction to the topic, introduces the mathematical model, discusses the underlying ideas globally, and shows some results. For the full details the readers are referred to the extensive bibliography with 929 entries. This book is a must-have for those interested in the full breadth of research done in the biological and computer vision community. As a bonus, the chapters can also be used in a seminar-based, advanced undergraduate course in mathematical based computer vision. Reviewed by Arjan Kuijper, IAPR Newsletter 28:4, October 2006
"From the reviews: ""The focus of the book is on mathematical methods that both model and reproduce human visual abilities. ... This book is a must-have for those interested in the full breadth of research done in the biological & computer vision community. As a bonus, the chapters can also be used in a seminar-based, advanced undergraduate course in mathematical based computer vision. "" (Arjan Kuijper, IAPR Newsletter, October, 2006) ""Computational visual perception can be defined as the discipline of enabling computers to identify features in image data. … I found this book to be detailed and comprehensive enough to be well worth the time spent on it. Citations linking the text to the relevant literature are profusely sprinkled throughout the text, and a very extensive bibliography is included … . the production qualities are excellent. … it should be a useful reference text for researchers or practitioners in this field."" (R. M. Malyankar, Computing Reviews, January, 2006) ""The editors of this important compendium view their task as a contribution to modeling and simulating human vision by machine. … The editors should be congratulated for bringing together high-level researchers to contribute chapters on cutting-edge technologies based on mathematical modeling. This compendium is a solid contribution to the recent literature combining the theories and applications of mathematical modeling to the domain of computer vision."" (R. Goldberg, Computing Reviews, June, 2006)"
From the reviews: The focus of the book is on mathematical methods that both model and reproduce human visual abilities. ... This book is a must-have for those interested in the full breadth of research done in the biological & computer vision community. As a bonus, the chapters can also be used in a seminar-based, advanced undergraduate course in mathematical based computer vision. (Arjan Kuijper, IAPR Newsletter, October, 2006) Computational visual perception can be defined as the discipline of enabling computers to identify features in image data. ! I found this book to be detailed and comprehensive enough to be well worth the time spent on it. Citations linking the text to the relevant literature are profusely sprinkled throughout the text, and a very extensive bibliography is included ! . the production qualities are excellent. ! it should be a useful reference text for researchers or practitioners in this field. (R. M. Malyankar, Computing Reviews, January, 2006) The editors of this important compendium view their task as a contribution to modeling and simulating human vision by machine. ! The editors should be congratulated for bringing together high-level researchers to contribute chapters on cutting-edge technologies based on mathematical modeling. This compendium is a solid contribution to the recent literature combining the theories and applications of mathematical modeling to the domain of computer vision. (R. Goldberg, Computing Reviews, June, 2006)
From the reviews: The focus of the book is on mathematical methods that both model and reproduce human visual abilities. ... This book is a must-have for those interested in the full breadth of research done in the biological & computer vision community. As a bonus, the chapters can also be used in a seminar-based, advanced undergraduate course in mathematical based computer vision. (Arjan Kuijper, IAPR Newsletter, October, 2006) Computational visual perception can be defined as the discipline of enabling computers to identify features in image data. ... I found this book to be detailed and comprehensive enough to be well worth the time spent on it. Citations linking the text to the relevant literature are profusely sprinkled throughout the text, and a very extensive bibliography is included ... . the production qualities are excellent. ... it should be a useful reference text for researchers or practitioners in this field. (R. M. Malyankar, Computing Reviews, January, 2006) The editors of this important compendium view their task as a contribution to modeling and simulating human vision by machine. ... The editors should be congratulated for bringing together high-level researchers to contribute chapters on cutting-edge technologies based on mathematical modeling. This compendium is a solid contribution to the recent literature combining the theories and applications of mathematical modeling to the domain of computer vision. (R. Goldberg, Computing Reviews, June, 2006)
