2 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CV2020★ 2 cited
A study of the effect of the illumination model on the generation of synthetic training datasets
Xin Zhang, Ning Jia, Ioannis Ivrissimtzis
The use of computer generated images to train Deep Neural Networks is a viable alternative to real images when the latter are scarce or expensive. In this paper, we study how the i…
cs.CV2019★ 1 cited
Watermark retrieval from 3D printed objects via synthetic data training
Xin Zhang, Ning Jia, Ioannis Ivrissimtzis
We present a deep neural network based method for the retrieval of watermarks from images of 3D printed objects. To deal with the variability of all possible 3D printing and image…
cs.CV2018
Watermark Retrieval from 3D Printed Objects via Convolutional Neural Networks
Xin Zhang, Qian Wang, Toby Breckon +1
We present a method for reading digital data embedded in planar 3D printed surfaces. The data are organised in binary arrays and embedded as surface textures in a way inspired by Q…