001387727 000__ 03552cam\a2200505Ma\4500 001387727 001__ 1387727 001387727 003__ MaCbMITP 001387727 005__ 20240325105214.0 001387727 006__ m\\\\\o\\d\\\\\\\\ 001387727 007__ cr\cn\nnnunnun 001387727 008__ 010307s1990\\\\maua\\\\ob\\\\001\0\eng\d 001387727 020__ $$a0585354049$$q(electronic bk.) 001387727 020__ $$a9780585354040$$q(electronic bk.) 001387727 020__ $$a9780262280372$$q(electronic bk.) 001387727 020__ $$a026228037X$$q(electronic bk.) 001387727 020__ $$z026213263X 001387727 020__ $$z9780262132633 001387727 035__ $$a(OCoLC)47011232$$z(OCoLC)827307494 001387727 035__ $$a(OCoLC-P)47011232 001387727 040__ $$aOCoLC-P$$beng$$epn$$cOCoLC-P 001387727 050_4 $$aTA1635$$b.M87 1990eb 001387727 072_7 $$aCOM$$x016000$$2bisacsh 001387727 08204 $$a006.3/7$$220 001387727 1001_ $$aMurray, David W. 001387727 24510 $$aExperiments in the machine interpretation of visual motion /$$cDavid W. Murray and Bernard F. Buxton. 001387727 260__ $$aCambridge, Mass. :$$bMIT Press,$$c©1990. 001387727 300__ $$a1 online resource (236 pages) :$$billustrations. 001387727 336__ $$atext$$btxt$$2rdacontent 001387727 337__ $$acomputer$$bc$$2rdamedia 001387727 338__ $$aonline resource$$bcr$$2rdacarrier 001387727 4901_ $$aArtificial intelligence 001387727 506__ $$aAccess limited to authorized users. 001387727 520__ $$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. 001387727 588__ $$aOCLC-licensed vendor bibliographic record. 001387727 650_0 $$aComputer vision. 001387727 650_0 $$aMotion perception (Vision) 001387727 653__ $$aCOMPUTER SCIENCE/Artificial Intelligence 001387727 655_0 $$aElectronic books 001387727 7001_ $$aBuxton, Bernard F. 001387727 852__ $$bebk 001387727 85640 $$3MIT Press$$uhttps://univsouthin.idm.oclc.org/login?url=https://doi.org/10.7551/mitpress/2917.001.0001?locatt=mode:legacy$$zOnline Access through The MIT Press Direct 001387727 85642 $$3OCLC metadata license agreement$$uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf 001387727 909CO $$ooai:library.usi.edu:1387727$$pGLOBAL_SET 001387727 980__ $$aBIB 001387727 980__ $$aEBOOK 001387727 982__ $$aEbook 001387727 983__ $$aOnline