Concurrent Viola Jones classifiers on a portable Beowulf cluster : a thesis presented in partial fulfilment of the requirements for the degree of Master of Engineering in Mechatronics at Massey University

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dc.contributor.authorChemudugunta, Ravi Kiran
dc.date.accessioned2017-09-25T02:06:39Z
dc.date.available2017-09-25T02:06:39Z
dc.date.issued2008
dc.description.abstractReal-time Computer Vision is an interesting application for supercomputing, real-time applications (vision processing in particular) employ special purpose hardware such as DSPs to achieve high performance. This thesis explores parallel computers particularly commodity general purpose hardware. We also build a prototype to better understand the economics of supercomputing, specifically related to mobile computing - low power, rugged design by building a mobile computer. A new communication layer is built, where by the nature of the locality of the nodes allows one to optimise the protocols to reduce the latency comparably. Finally a study and in depth results of the algorithm, the Viola Jones Object detector in parallel are presented followed by reflection and future work based on the current results and platform.en_US
dc.identifier.urihttp://hdl.handle.net/10179/11975
dc.language.isoenen_US
dc.publisherMassey Universityen_US
dc.rightsThe Authoren_US
dc.subjectVisual perceptionen_US
dc.subjectData processingen_US
dc.subjectComputer visionen_US
dc.subjectBeowulf clusters (Computer systems)en_US
dc.subjectParallel processing (Electronic computers)en_US
dc.titleConcurrent Viola Jones classifiers on a portable Beowulf cluster : a thesis presented in partial fulfilment of the requirements for the degree of Master of Engineering in Mechatronics at Massey Universityen_US
dc.typeThesisen_US
massey.contributor.authorChemudugunta, Ravi Kiran
thesis.degree.disciplineMechatronicsen_US
thesis.degree.grantorMassey Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Engineering (M.E.)en_US
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