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dc.contributor.authorMaquignaz, Ian
dc.contributor.otherQueen's University (Kingston, Ont.). Theses (Queen's University (Kingston, Ont.))en
dc.date.accessioned2019-05-31T17:50:47Z
dc.date.available2019-05-31T17:50:47Z
dc.identifier.urihttp://hdl.handle.net/1974/26263
dc.description.abstractIn this work, we describe a novel PROCAM sensor which uses steganographic techniques to embed imperceptible patterns in structured light, allowing a projector to function both as a versatile display device and a sensor for augmented reality applications. The purpose of this technology is to enable a new generation of intelligent projectors with the capacity for self-calibration, responsive user-interaction and the ability communicate with peer devices. Our approach analyses input frames by transformation into the frequency domain where each frame is encoded with an imperceptible pattern. The encoded input frame is then returned to the spatial domain where it is projected and in turn recaptured by the PROCAM pair. We decode by filtering the image in the frequency domain and extracting the transformed encoded pattern which allows the estimation of the transformation incurred by projection or the extraction encoded data. It is hoped that the methodology described herein will enable future work in PROCAM AR calibration, stenographic communication, and environment sensing AR systems with the capacity responsive user-interfaces, be that through behaviour recognition or other forms of interaction. Our results show that the proposed system is capable of embedding patterns into input frames with only minimal alteration to the input image, and pattern extraction can be achieved reliably with minimal noise.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesCanadian thesesen
dc.rightsQueen's University's Thesis/Dissertation Non-Exclusive License for Deposit to QSpace and Library and Archives Canada*
dc.rightsProQuest PhD and Master's Theses International Dissemination Agreement*
dc.rightsIntellectual Property Guidelines at Queen's University*
dc.rightsCopying and Preserving Your Thesis*
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.*
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectPROCAMen_US
dc.subjectMachine Visionen_US
dc.subjectSteganographyen_US
dc.subjectComputer Visionen_US
dc.subject3D Imagingen_US
dc.subjectDepth Sensingen_US
dc.titleImperceptible Pattern Embedding: Structured Light Steganography For Augmented Reality Applicationsen_US
dc.typethesisen
dc.description.degreeMaster of Applied Scienceen_US
dc.contributor.supervisorGreenspan, Michael
dc.contributor.departmentElectrical and Computer Engineeringen_US


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Queen's University's Thesis/Dissertation Non-Exclusive License for Deposit to QSpace and Library and Archives Canada
Except where otherwise noted, this item's license is described as Queen's University's Thesis/Dissertation Non-Exclusive License for Deposit to QSpace and Library and Archives Canada