Graph-Based Methods in Computer Vision: Developments and Applications - Xiao Bai - Książki - Idea Group,U.S. - 9781466618916 - 31 lipca 2012
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Graph-Based Methods in Computer Vision: Developments and Applications


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Presents a sampling of the research issues related to applying graph-based methods in computer vision. These methods have been under-utilized in the past, but use must now be increased because of their ability to naturally and effectively represent image models and data. This publication explores current activity and future applications of this fascinating and ground-breaking topic.


Marc Notes: Includes bibliographical references and index. Publisher Marketing: Computer vision, the science and technology of machines that see, has been a rapidly developing research area since the mid-1970s. It focuses on the understanding of digital input images in many forms, including video and 3-D range data. Graph-Based Methods in Computer Vision: Developments and Applications presents a sampling of the research issues related to applying graph-based methods in computer vision. These methods have been under-utilized in the past, but use must now be increased because of their ability to naturally and effectively represent image models and data. This publication explores current activity and future applications of this fascinating and ground-breaking topic.

Contributor Bio:  Bai, Xiao Xiao Bai was born in 1968 in Shanghai. He is the author of Horny Hamlet, a prize-winning collection of essays, and the novel Game Point. In 2013 his novella, Xu Xiangbi the Spy, won the tenth annual Shanghai Literary Prize. French Concession is his first novel to be translated into English. He lives in Shanghai.

Media Książki     Hardcover Book   (Książka z twardym grzbietem i okładką)
Wydane 31 lipca 2012
ISBN13 9781466618916
Wydawcy Idea Group,U.S.
Gatunek Aspects (Academic) > Science / Technology Aspects
Strony 410
Wymiary 216 × 279 × 30 mm   ·   1,20 kg
Język Angielski  
Redaktor Bai, Xiao
Redaktor Cheng, Jian
Redaktor Hancock, Edwin

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