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dc.contributor.authorQiu, Yuboen
dc.date.accessioned2019-09-27T16:57:05Z
dc.date.available2019-09-27T16:57:05Z
dc.identifier.urihttp://hdl.handle.net/1974/26625
dc.description.abstractThis thesis presents inverse rectification, a novel method for establishing correspondence in depth estimation. The rectifying homography of the projector-camera pair is used to warp a pattern of vertical dash features. The pattern imparts upon the system the property that projected features will fall on distinct conjugate epipolar lines of the rectified projector and acquired camera images. This reduces the correspondence search to a trivial constant-time table lookup, and leads to robust and extremely efficient disparity calculations. A projector-camera range sensor is developed based on this method, and is shown experimentally to be effective, with bandwidth exceeding some existing consumer-level range sensors.en
dc.language.isoengen
dc.relation.ispartofseriesCanadian thesesen
dc.rightsQueen's University's Thesis/Dissertation Non-Exclusive License for Deposit to QSpace and Library and Archives Canadaen
dc.rightsProQuest PhD and Master's Theses International Dissemination Agreementen
dc.rightsIntellectual Property Guidelines at Queen's Universityen
dc.rightsCopying and Preserving Your Thesisen
dc.rightsThis publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.en
dc.subjectProjectoren
dc.subjectCameraen
dc.subjectEpipolar Linesen
dc.subjectFasten
dc.subjectHomographyen
dc.subjectCalibrationen
dc.titleEfficient Structured Light Pattern Using Inverse Rectificationen
dc.typethesisen
dc.description.degreeM.A.Sc.en
dc.contributor.supervisorGreenspan, Michaelen
dc.contributor.departmentElectrical and Computer Engineeringen
dc.embargo.termsPatent Pendingen
dc.embargo.liftdate2024-09-26T14:51:37Z
dc.degree.grantorQueen's University at Kingstonen


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