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Experiments in the Machine Interpretation of Visual Motion (Artificial Intelligence)

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Experiments in the Machine Interpretation of Visual Motion (Artificial Intelligence) Cover

 

Synopses & Reviews

Publisher Comments:

andlt;Pandgt;If robots are to act intelligently in everyday environments, they must have a perception of motion and its consequences. This book describes experimental advances made in the interpretation of visual motion over the last few years that have moved researchers closer to emulating the way in which we recover information about the surrounding world. It describes algorithms that form a complete, implemented, and tested system developed by the authors to measure two-dimensional motion in an image sequence, then to compute three-dimensional structure and motion, and finally to recognize the moving objects.The authors develop algorithms to interpret visual motion around four principal constraints. The first and simplest allows the scene structure to be recovered on a pointwise basis. The second constrains the scene to a set of connected straight edges. The third makes the transition between edge and surface representations by demanding that the wireframe recovered is strictly polyhedral. And the final constraint assumes that the scene is comprised of planar surfaces, and recovers them directly.David W. Murray is University Lecturer in Engineering Science at the University of Oxford and Draper's Fellow in Robotics at St Anne's College, Oxford. Bernard F. Buxton is Senior Research Fellow at the General Electric Company's Hirst Research Centre, Wembley, UK, where he leads the Computer Vision Group in the Long Range Research Laboratory.Contents: Image, Scene, and Motion. Computing Image Motion. Structure from Motion of Points. The Structure and Motion of Edges. From Edges to Surfaces. Structure and Motion of Planes. Visual Motion Segmentation. Matching to Edge Models. Matching to Planar Surfaces.andlt;/Pandgt;

Book News Annotation:

Describes experimental advances made in the interpretation of visual motion over the last few years and presents original algorithms that form a complete, implemented, and tested system to measure two- dimensional motion in an image sequence, compute three-dimensional structure and motion, and recognize the moving objects.
Annotation c. Book News, Inc., Portland, OR (booknews.com)

Synopsis:

Contents: Image, Scene, and Motion. Computing Image Motion. Structure from Motion of Points. The Structure and Motion of Edges. From Edges to Surfaces. Structure and Motion of Planes. Visual Motion Segmentation. Matching to Edge Models. Matching to Planar Surfaces.

Synopsis:

andlt;Pandgt; This book describes experimental advances made in the interpretation of visual motion over the last few years that have moved researchers closer to emulating the way in which we recover information about the surrounding world. andlt;/Pandgt;

Synopsis:

If robots are to act intelligently in everyday environments, they must have a perception of motion and its consequences. This book describes experimental advances made in the interpretation of visual motion over the last few years that have moved researchers closer to emulating the way in which we recover information about the surrounding world. It describes algorithms that form a complete, implemented, and tested system developed by the authors to measure two-dimensional motion in an image sequence, then to compute three-dimensional structure and motion, and finally to recognize the moving objects.The authors develop algorithms to interpret visual motion around four principal constraints. The first and simplest allows the scene structure to be recovered on a pointwise basis. The second constrains the scene to a set of connected straight edges. The third makes the transition between edge and surface representations by demanding that the wireframe recovered is strictly polyhedral. And the final constraint assumes that the scene is comprised of planar surfaces, and recovers them directly.David W. Murray is University Lecturer in Engineering Science at the University of Oxford and Draper's Fellow in Robotics at St Anne's College, Oxford. Bernard F. Buxton is Senior Research Fellow at the General Electric Company's Hirst Research Centre, Wembley, UK, where he leads the Computer Vision Group in the Long Range Research Laboratory.Contents: Image, Scene, and Motion. Computing Image Motion. Structure from Motion of Points. The Structure and Motion of Edges. From Edges to Surfaces. Structure and Motion of Planes. Visual Motion Segmentation. Matching to Edge Models. Matching to Planar Surfaces.

Description:

Includes bibliographical references (p. 215-229) and index.

About the Author

This book describes experimental advances made in the interpretation of visual motion over the last few years that have moved researchers closer to emulating the way in which we recover information about the surrounding world.

Product Details

ISBN:
9780262132633
Author:
Murray, David W.
Publisher:
MIT Press (MA)
Author:
Davis, Randall
Author:
Buxton, Bernard F.
Author:
Brady, Michael
Author:
Buxton, Bernard
Author:
Bobrow, Daniel G.
Location:
Cambridge, Mass. :
Subject:
Computer Science
Subject:
Computer Vision
Subject:
Motion perception (vision)
Subject:
Motion Perception.
Subject:
Artificial Intelligence - General
Subject:
Artificial Intelligence
Subject:
Intelligence (AI) & Semantics
Subject:
Computers-Reference - General
Series:
Artificial Intelligence Series Experiments in the Machine Interpretation of Visual Motion
Series Volume:
122
Publication Date:
19900931
Binding:
HARDCOVER
Grade Level:
from 17
Language:
English
Illustrations:
87
Pages:
262
Dimensions:
9 x 6 in

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General
Computers and Internet » Personal Computers » General
History and Social Science » Economics » General

Experiments in the Machine Interpretation of Visual Motion (Artificial Intelligence) New Hardcover
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Product details 262 pages MIT Press - English 9780262132633 Reviews:
"Synopsis" by , Contents: Image, Scene, and Motion. Computing Image Motion. Structure from Motion of Points. The Structure and Motion of Edges. From Edges to Surfaces. Structure and Motion of Planes. Visual Motion Segmentation. Matching to Edge Models. Matching to Planar Surfaces.
"Synopsis" by , andlt;Pandgt; This book describes experimental advances made in the interpretation of visual motion over the last few years that have moved researchers closer to emulating the way in which we recover information about the surrounding world. andlt;/Pandgt;
"Synopsis" by , If robots are to act intelligently in everyday environments, they must have a perception of motion and its consequences. This book describes experimental advances made in the interpretation of visual motion over the last few years that have moved researchers closer to emulating the way in which we recover information about the surrounding world. It describes algorithms that form a complete, implemented, and tested system developed by the authors to measure two-dimensional motion in an image sequence, then to compute three-dimensional structure and motion, and finally to recognize the moving objects.The authors develop algorithms to interpret visual motion around four principal constraints. The first and simplest allows the scene structure to be recovered on a pointwise basis. The second constrains the scene to a set of connected straight edges. The third makes the transition between edge and surface representations by demanding that the wireframe recovered is strictly polyhedral. And the final constraint assumes that the scene is comprised of planar surfaces, and recovers them directly.David W. Murray is University Lecturer in Engineering Science at the University of Oxford and Draper's Fellow in Robotics at St Anne's College, Oxford. Bernard F. Buxton is Senior Research Fellow at the General Electric Company's Hirst Research Centre, Wembley, UK, where he leads the Computer Vision Group in the Long Range Research Laboratory.Contents: Image, Scene, and Motion. Computing Image Motion. Structure from Motion of Points. The Structure and Motion of Edges. From Edges to Surfaces. Structure and Motion of Planes. Visual Motion Segmentation. Matching to Edge Models. Matching to Planar Surfaces.
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