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

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	Article	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