Computer Graphics and Visual Computing (CGVC) 2018
pp. 117 - 120
Single ImageWatermark Retrieval from 3D Printed Surfaces via Convolutional Neural Networks
Author(s):
Xin Zhang, Qian Wang, and Ioannis Ivrissimtzis
DOI:
10.2312/cgvc.20181215
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.
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CCS Concepts: Computing methodologies --> Computer vision; Image manipulation
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