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Cluster computing for robotics and c...

Lyons, Damian M.{me_controlnum}

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Cluster computing for robotics and computer vision

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Cluster computing for robotics and computer vision/ Damian M. Lyons.
作者:	Lyons, Damian M.{me_controlnum}
出版者:	Singapore ;World Scientific Pub. Co., : c2011.,
面頁冊數:	xxi, 212 p. :ill.
標題:	Parallel programming (Computer science). -
電子資源:	http://www.worldscientific.com/worldscibooks/10.1142/7080#t=toc
ISBN:	9789812836366 (electronic bk.)

Cluster computing for robotics and computer vision
Lyons, Damian M.{me_controlnum}

Cluster computing for robotics and computer vision[electronic resource] /Damian M. Lyons. - Singapore ;World Scientific Pub. Co.,c2011. - xxi, 212 p. :ill.

Includes bibliographical references and index.

In this book, we look at how cluster technology can be leveraged to build better robots. Algorithms and approaches in key areas of robotics and computer vision, such as map building, target tracking, action selection and landmark learning, are reviewed and cluster implementations for these are presented. The objective of the book is to give professionals working in the beowulf cluster or robotics and computer vision fields a concrete view of the strong synergy between the areas as well as to spur further fruitful exploitation of this connection. The book is written at a level appropriate for an advanced undergraduate or graduate student. The key concepts in robotics, computer vision and cluster computing are introduced before being used to make the text useful to a wide audience in these fields.

Electronic reproduction.
Singapore :
World Scientific Publishing Co.,
2011.

System requirements: Adobe Acrobat Reader.

ISBN: 9789812836366 (electronic bk.)Subjects--Topical Terms:

778048
Parallel programming (Computer science).

LC Class. No.: TJ211.45

Dewey Class. No.: 005.275

Cluster computing for robotics and computer vision
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520 $a In this book, we look at how cluster technology can be leveraged to build better robots. Algorithms and approaches in key areas of robotics and computer vision, such as map building, target tracking, action selection and landmark learning, are reviewed and cluster implementations for these are presented. The objective of the book is to give professionals working in the beowulf cluster or robotics and computer vision fields a concrete view of the strong synergy between the areas as well as to spur further fruitful exploitation of this connection. The book is written at a level appropriate for an advanced undergraduate or graduate student. The key concepts in robotics, computer vision and cluster computing are introduced before being used to make the text useful to a wide audience in these fields.
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