3D image processing using deep neural network

Toshiaki Fujii

doi:10.1117/12.2523171

14 May 2019 3D image processing using deep neural network

Toshiaki Fujii

Proceedings Volume 10997, Three-Dimensional Imaging, Visualization, and Display 2019; 1099703 (2019) https://doi.org/10.1117/12.2523171
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

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.

Conference Presentation

Citation Download Citation

Toshiaki Fujii "3D image processing using deep neural network", Proc. SPIE 10997, Three-Dimensional Imaging, Visualization, and Display 2019, 1099703 (14 May 2019); https://doi.org/10.1117/12.2523171

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