Estimating mechanical properties of cloth from videos using dense motion trajectories: Human psychophysics and machine learning

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dc.contributor.author Nienborg, Hendrikje
dc.date.accessioned 2019-09-13T09:14:57Z
dc.date.available 2019-09-13T09:14:57Z
dc.date.issued 2018
dc.identifier.issn 1534-7362
dc.identifier.uri http://hdl.handle.net/10900/92754
dc.language.iso en en
dc.publisher Assoc Research Vision Ophthalmology Inc de_DE
dc.relation.uri http://dx.doi.org/10.1167/18.5.12
dc.subject.ddc 610 de_DE
dc.title Estimating mechanical properties of cloth from videos using dense motion trajectories: Human psychophysics and machine learning de_DE
dc.type Artikel de_DE
utue.quellen.id 20190321153956_02735
utue.personen.roh Bi, Wenyan
utue.personen.roh Jin, Peiran
utue.personen.roh Nienborg, Hendrikje
utue.personen.roh Xiao, Bei
dcterms.isPartOf.ZSTitelID Journal of Vision de_DE
dcterms.isPartOf.ZS-Issue Article 12 de_DE
dcterms.isPartOf.ZS-Volume 18 de_DE
utue.fakultaet Sonstige


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