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Inferring Human Pose and Motion from Images

Lu, Yifan

Description

As optical gesture recognition technology advances, touchless human computer interfaces of the future will soon become a reality. One particular technology, markerless motion capture, has gained a large amount of attention, with widespread application in diverse disciplines, including medical science, sports analysis, advanced user interfaces, and virtual arts. However, the complexity of human anatomy makes markerless motion capture a non-trivial problem: I) parameterised pose configuration...[Show more]

CollectionsOpen Access Theses
Date published: 2011-08-08
Type: Thesis (PhD)
URI: http://hdl.handle.net/1885/8222

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02Whole_Lu.pdfWhole Thesis3.56 MBAdobe PDFThumbnail
01Front_Lu.pdfFront Matter57.66 kBAdobe PDFThumbnail


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