Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/16342
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dc.titleMotion segmentation based on joint swings
dc.contributor.authorCHIA WEN JIE ALVIN
dc.date.accessioned2010-04-08T11:03:43Z
dc.date.available2010-04-08T11:03:43Z
dc.date.issued2009-09-11
dc.identifier.citationCHIA WEN JIE ALVIN (2009-09-11). Motion segmentation based on joint swings. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/16342
dc.description.abstractSynthesizing new motion is a difficult problem. Synthesis through physical simulation produces the best results but it suffers from the amount of time needed and thus, it is not suitable for real time use such as in a game. Therefore, an approach of synthesis using existing motion would be more suited for real time application. However, creating new motion from existing ones is a challenging task because of the motion data generally lacks structure and intuitive interpretation.We have come out with a novel motion segmentation model based on the dynamics of the motion which enables us to modify the intensity and timing of existing motion. For example, we could make a kick much more forceful, or change the duration of the kick. We believe our model could be used for motion compression as well as help in motion analysis in general because it encodes temporal, spatial and intensity information.
dc.language.isoen
dc.subjectMotion Data Graphics Animation Segmentation
dc.typeThesis
dc.contributor.departmentCOMPUTER SCIENCE
dc.contributor.supervisorLEOW WEE KHENG
dc.description.degreeMaster's
dc.description.degreeconferredMASTER OF SCIENCE
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Master's Theses (Open)

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