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.
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|
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|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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