PointFlowNet: Learning Representations for Rigid Motion Estimation from Point Clouds

dc.contributor.author	Behl, Aseem
dc.contributor.author	Paschalidou, Despoina
dc.contributor.author	Donné, Simon
dc.contributor.author	Geiger, Andreas
dc.date.accessioned	2020-12-28T10:55:16Z
dc.date.available	2020-12-28T10:55:16Z
dc.date.issued	2019-06
dc.identifier.isbn	978-1-7281-3293-8
dc.identifier.isbn	978-1-7281-3294-5
dc.identifier.uri	http://hdl.handle.net/10900/110944
dc.language.iso	en	de_DE
dc.relation.uri	http://dx.doi.org/10.1109/CVPR.2019.00815	de_DE
dc.subject.ddc	004	de_DE
dc.title	PointFlowNet: Learning Representations for Rigid Motion Estimation from Point Clouds	de_DE
dc.type	Article	de_DE
dc.type	ConferenceObject	de_DE
utue.personen.roh	Behl, Aseem
utue.personen.roh	Paschalidou, Despoina
utue.personen.roh	Donne, Simon
utue.personen.roh	Geiger, Andreas
dcterms.isPartOf.ZSTitelID	2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)	de_DE

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