論文

2018年8月10日

Convolutional Neural Network-Based Regression for Depth Prediction in Digital Holography

IEEE International Symposium on Industrial Electronics

2018-June
開始ページ
1323
終了ページ
1326
DOI
10.1109/ISIE.2018.8433651

© 2018 IEEE. Digital holography enables us to reconstruct objects in three-dimensional space from holograms captured by an imaging device. For the reconstruction, we need to know the depth position of the recoded object in advance. In this study, we propose depth prediction using convolutional neural network (CNN)-based regression. In the previous researches, the depth of an object was estimated through reconstructed images at different depth positions from a hologram using a certain metric that indicates the most focused depth position; however, such a depth search is time-consuming. The CNN of the proposed method can directly predict the depth position with millimeter precision from holograms.

リンク情報
DOI
https://doi.org/10.1109/ISIE.2018.8433651
Scopus
https://www.scopus.com/record/display.uri?eid=2-s2.0-85052373433&origin=inward
URL
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85052373433&origin=inward