Active Vision.

Blake, Andrew & Alan Yuille (eds.)

ISBN 10: 0262023512 / ISBN 13: 9780262023511

Published by Mit Pr, 1992

About this Item

Cambridge, MA: The MIT Press, 1992. Hardcover. Dustjacket. 389 pp.-Active Vision explores important themes emerging from the active vision paradigm, which has only recently become an established area of machine vision. In four parts the contributions look in turn at tracking, control of vision heads, geometric and task planning, and architectures and applications, presenting research that marks a turning point for both the tasks and the processes of computer vision. The eighteen chapters in Active Vision draw on traditional work in computer vision over the last two decades, particularly in the use of concepts of geometrical modeling and optical flow; however, they also concentrate on relatively new areas such as control theory, recursive statistical filtering, and dynamical modeling. English text. Condition : as new. Condition : as new copy. ISBN 9780262023511. Keywords : , Image processing.

Seller Inventory # 260041

Bibliographic Details

• Title: Active Vision.
• Publisher: Mit Pr
• Publication Date: 1992
• Language: English
• ISBN 10: 0262023512
• ISBN 13: 9780262023511
• Binding: Hardcover
• Condition: as new
• Dust Jacket Condition: Dust Jacket Included

About this title

Synopsis

Active Vision explores important themes emerging from the active vision paradigm, which has only recently become an established area of machine vision. In four parts the contributions look in turn at tracking, control of vision heads, geometric and task planning, and architectures and applications, presenting research that marks a turning point for both the tasks and the processes of computer vision.

The eighteen chapters in Active Vision draw on traditional work in computer vision over the last two decades, particularly in the use of concepts of geometrical modeling and optical flow; however, they also concentrate on relatively new areas such as control theory, recursive statistical filtering, and dynamical modeling.

Active Vision documents a change in emphasis, one that is based on the premise that an observer (human or computer) may be able to understand a visual environment more effectively and efficiently if the sensor interacts with that environment, moving through and around it, culling information selectively, and analyzing visual sensory data purposefully in order to answer specific queries posed by the observer. This method is in marked contrast to the more conventional, passive approach to computer vision where the camera is supposed to take in the whole scene, attempting to make sense of all that it sees.

Andrew Blake is Lecturer in Engineering Science at the University of Oxford Alan Yuille is Associate Professor in the Division of Applied Sciences at Harvard University.

About the Author

Andrew Blake is Managing Director of Microsoft Research Cambridge (UK), where he has led the Computer Vision Research Group since 1999.