Publication details for Dr Ioannis IvrissimtzisZhang, 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.
- Publication type: Conference Paper
- ISSN/ISBN: 9783038680710
- DOI: 10.2312/cgvc.20182019
- Further publication details on publisher web site
- Durham Research Online (DRO) - may include full text
Author(s) from Durham
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.