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dc.contributor.advisorDavis, Larryen_US
dc.contributor.advisorDoermann, Daviden_US
dc.contributor.authorLiu, Xuen_US
dc.date.accessioned2009-01-24T07:32:12Z
dc.date.available2009-01-24T07:32:12Z
dc.date.issued2008-12-08en_US
dc.identifier.urihttp://hdl.handle.net/1903/8916
dc.description.abstractCamera phones have penetrated every corner of society and have become a focal point for communications. In our research we extend the traditional use of such devices to help bridge the gap between physical and digital worlds. Their combined image acquisition, processing, storage, and communication capabilities in a compact, portable device make them an ideal platform for embedding computer vision and image processing capabilities in the pursuit of new mobile applications. This dissertation is presented as a series of computer vision and image processing techniques together with their applications on the mobile device. We have developed a set of techniques for ego-motion estimation, enhancement, feature extraction, perspective correction, object detection, and document retrieval that serve as a basis for such applications. Our applications include a dynamic video barcode that can transfer significant amounts of information visually, a document retrieval system that can retrieve documents from low resolution snapshots, and a series of applications for the users with visual disabilities such as a currency reader. Solutions for mobile devices require a fundamentally different approach than traditional vision techniques that run on traditional computers, so we consider user-device interaction and the fact that these algorithms must execute in a resource constrained environment. For each problem we perform both theoretical and empirical analysis in an attempt to optimize performance and usability. The thesis makes contributions related to efficient implementation of image processing and computer vision techniques, analysis of information theory, feature extraction and analysis of low quality images, and device usability.en_US
dc.format.extent8578176 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.titleComputer Vision and Image Processing Techniques for Mobile Applicationsen_US
dc.typeDissertationen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentComputer Scienceen_US
dc.subject.pqcontrolledComputer Scienceen_US
dc.subject.pqcontrolledEngineering, Electronics and Electricalen_US
dc.subject.pqcontrolledComputer Scienceen_US
dc.subject.pquncontrolledComputer Visionen_US
dc.subject.pquncontrolledMobile Devicesen_US
dc.subject.pquncontrolledHCIen_US
dc.subject.pquncontrolledPattern Recognitionen_US
dc.subject.pquncontrolledPervasive Computingen_US


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