Skip navigation
Skip navigation

Inferring Human Pose and Motion from Images

Lu, Yifan


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)


File Description SizeFormat Image
02Whole_Lu.pdfWhole Thesis3.56 MBAdobe PDFThumbnail
01Front_Lu.pdfFront Matter57.66 kBAdobe PDFThumbnail

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  23 August 2018/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator