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English
MIT Press
12 November 1992
Series: Active Vision
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.
Edited by:   ,
Imprint:   MIT Press
Country of Publication:   United States
Dimensions:   Height: 231mm,  Width: 155mm,  Spine: 28mm
Weight:   635g
ISBN:   9780262518901
ISBN 10:   0262518902
Series:   Active Vision
Pages:   389
Publication Date:  
Recommended Age:   From 18 years
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Inactive

Andrew Blake is Managing Director of Microsoft Research Cambridge (UK), where he has led the Computer Vision Research Group since 1999. Alan Yuille is Professor in the Department of Statistics, University of California, Los Angeles.

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