Gappy POD and Temporal Correspondence for Lizard Motion Estimation

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dc.contributor.authorKurdila, Hannah Robertshawen
dc.contributor.committeechairBorggaard, Jeffrey T.en
dc.contributor.committeememberGugercin, Serkanen
dc.contributor.committeememberZietsman, Lizetteen
dc.contributor.departmentMathematicsen
dc.date.accessioned2018-06-21T08:01:12Zen
dc.date.available2018-06-21T08:01:12Zen
dc.date.issued2018-06-20en
dc.description.abstractWith the maturity of conventional industrial robots, there has been increasing interest in designing robots that emulate realistic animal motions. This discipline requires careful and systematic investigation of a wide range of animal motions from biped, to quadruped, and even to serpentine motion of centipedes, millipedes, and snakes. Collecting optical motion capture data of such complex animal motions can be complicated for several reasons. Often there is the need to use many high-quality cameras for detailed subject tracking, and self-occlusion, loss of focus, and contrast variations challenge any imaging experiment. The problem of self-occlusion is especially pronounced for animals. In this thesis, we walk through the process of collecting motion capture data of a running lizard. In our collected raw video footage, it is difficult to make temporal correspondences using interpolation methods because of prolonged blurriness, occlusion, or the limited field of vision of our cameras. To work around this, we first make a model data set by making our best guess of the points' locations through these corruptions. Then, we randomly eclipse the data, use Gappy POD to repair the data and then see how closely it resembles the initial set, culminating in a test case where we simulate the actual corruptions we see in the raw video footage.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:15350en
dc.identifier.urihttp://hdl.handle.net/10919/83603en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectGappy proper orthogonal decompositionen
dc.subjectlizard locomotionen
dc.subjectmotion captureen
dc.subjectocclusionen
dc.subjectpose estimationen
dc.subjecttemporal correspondenceen
dc.subjecttrackingen
dc.titleGappy POD and Temporal Correspondence for Lizard Motion Estimationen
dc.typeThesisen
thesis.degree.disciplineMathematicsen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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