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Proceedings Paper

3D image processing using deep neural network
Author(s): Toshiaki Fujii
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Paper Abstract

In 3D image processing field, many researches have been conducted, such as multiview image coding and data compression, view interpolation, coded aperture based light field acquisition, and light field display signal calculation. The challenge of these technologies is that they usually require heavy computation due to the large amount of data. In this paper, we report the results of some experiments where we replace these computation with deep neural network (DNN) and convolutional neural network (CNN). In some of the cases, DNN and CNN show better performance than conventional methods both in quality and calculation speed.

Paper Details

Date Published: 14 May 2019
PDF: 7 pages
Proc. SPIE 10997, Three-Dimensional Imaging, Visualization, and Display 2019, 1099703 (14 May 2019); doi: 10.1117/12.2523171
Show Author Affiliations
Toshiaki Fujii, Nagoya Univ. (Japan)

Published in SPIE Proceedings Vol. 10997:
Three-Dimensional Imaging, Visualization, and Display 2019
Bahram Javidi; Jung-Young Son; Osamu Matoba, Editor(s)

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