Single ImageWatermark Retrieval from 3D Printed Surfaces via Convolutional Neural Networks

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dc.contributor.authorZhang, Xinen_US
dc.contributor.authorWang, Qianen_US
dc.contributor.authorIvrissimtzis, Ioannisen_US
dc.contributor.editor{Tam, Gary K. L. and Vidal, Francken_US
dc.date.accessioned2018-09-19T15:15:18Z
dc.date.available2018-09-19T15:15:18Z
dc.date.issued2018
dc.description.abstractIn this paper we propose and analyse a method for watermarking 3D printed objects, concentrating on the watermark retrieval problem. The method embeds the watermark in a planar region of the 3D printed object in the form of small semi-spherical or cubic bumps arranged at the nodes of a regular grid. The watermark is extracted from a single image of the watermarked planar region through a Convolutional Neural Network. Experiments with 3D printed objects, produced by filaments of various colours, show that in most cases the retrieval method has a high accuracy rate.en_US
dc.description.sectionheadersShort Papers
dc.description.seriesinformationComputer Graphics and Visual Computing (CGVC)
dc.identifier.doi10.2312/cgvc.20181215
dc.identifier.isbn978-3-03868-071-0
dc.identifier.pages117-120
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/cgvc20181215
dc.identifier.urihttps://doi.org/10.2312/cgvc.20181215
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectComputer vision
dc.subjectImage manipulation
dc.titleSingle ImageWatermark Retrieval from 3D Printed Surfaces via Convolutional Neural Networksen_US
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