Single ImageWatermark Retrieval from 3D Printed Surfaces via Convolutional Neural Networks
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Date
2018
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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.
Description
@inproceedings{10.2312:cgvc.20181215,
booktitle = {Computer Graphics and Visual Computing (CGVC)},
editor = {{Tam, Gary K. L. and Vidal, Franck},
title = {{Single ImageWatermark Retrieval from 3D Printed Surfaces via Convolutional Neural Networks}},
author = {Zhang, Xin and Wang, Qian and Ivrissimtzis, Ioannis},
year = {2018},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-071-0},
DOI = {10.2312/cgvc.20181215}
}