Zhang, Xin and Wang, Qian and Ivrissimtzis, Ioannis (2018) 'Single image watermark retrieval from 3D printed surfaces via convolutional neural networks.', in Computer Graphics & Visual Computing (CGVC) 2018 : Eurographics UK Chapter proceedings. Goslar, Germany: Eurographics Association, pp. 117-120.
Abstract
In 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.
| Item Type: | Book chapter |
|---|---|
| Full text: | (AM) Accepted Manuscript Download PDF (3662Kb) |
| Status: | Peer-reviewed |
| Publisher Web site: | https://doi.org/10.2312/cgvc.20182019 |
| Publisher statement: | This is the accepted version of the following article: Zhang, Xin , Wang, Qian & Ivrissimtzis, Ioannis (2018), Single Image Watermark Retrieval from 3D Printed Surfaces via Convolutional Neural Networks, in Tam, Gary & Vidal, Franck eds, EG UK Computer Graphics & Visual Computing. Swansea, UK, Eurographics Association, Goslar, Germany, 117-120 which has been published in final form at https://doi.org/10.2312/cgvc.20182019 |
| Date accepted: | 24 July 2018 |
| Date deposited: | 21 November 2018 |
| Date of first online publication: | 2018 |
| Date first made open access: | No date available |
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