MARC record from Internet Archive

LEADER: 05459cam 2200805Ma 4500
001 ocm47011232
003 OCoLC
005 20200612220446.0
008 010307s1990 maua ob 001 0 eng d
006 m o d
007 cr cn|||||||||
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020 $z9780262132633
035 $a(OCoLC)47011232$z(OCoLC)827307494$z(OCoLC)1110404578$z(OCoLC)1128466816$z(OCoLC)1129211025
037 $a2917$bMIT Press
037 $a9780262280372$bMIT Press
050 4 $aTA1635$b.M87 1990eb
072 7 $aCOM$x016000$2bisacsh
082 04 $a006.3/7$220
100 1 $aMurray, David W.
245 10 $aExperiments in the machine interpretation of visual motion /$cDavid W. Murray and Bernard F. Buxton.
260 $aCambridge, Mass. :$bMIT Press,$c©1990.
300 $a1 online resource (236 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aArtificial intelligence
504 $aIncludes bibliographical references (pages 215-229) and index.
588 0 $aPrint version record.
520 $aIf 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.
650 0 $aComputer vision.
650 0 $aMotion perception (Vision)
650 6 $aVision par ordinateur.
650 6 $aPerception visuelle du mouvement.
650 7 $aCOMPUTERS$xComputer Vision & Pattern Recognition.$2bisacsh
650 7 $aComputer vision.$2fast$0(OCoLC)fst00872687
650 7 $aMotion perception (Vision)$2fast$0(OCoLC)fst01027087
650 7 $aBewegungssehen$2gnd
650 7 $aMaschinelles Sehen$2gnd
650 7 $aPerception visuelle.$2ram
650 7 $aReconnaissance des formes (informatique)$2ram
653 $aCOMPUTER SCIENCE/Artificial Intelligence
655 4 $aElectronic books.
700 1 $aBuxton, Bernard F.
776 08 $iPrint version:$aMurray, David W.$tExperiments in the machine interpretation of visual motion.$dCambridge, Mass. : MIT Press, ©1990$z026213263X$w(DLC) 90043645$w(OCoLC)22113981
830 0 $aArtificial intelligence (Cambridge, Mass.)
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856 40 $3MIT Press$uhttp://mitpress.mit.edu/9780262132633
856 40 $3MIT Press$uhttps://doi.org/10.7551/mitpress/2917.001.0001
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856 4 $3front cover image$uhttp://mitpress.mit.edu/images/products/books/9780262132633-f30.jpg
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