Cookies

We use cookies to ensure that we give you the best experience on our website. You can change your cookie settings at any time. Otherwise, we'll assume you're OK to continue.

Durham University

Computer Science

Profile

Publication details for Dr Ioannis Ivrissimtzis

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.

Author(s) from Durham

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.