Unsupervised Learning Based Focal Stack Camera Depth Estimation

Zhengyu Huang; Zhengyu Huang; Weizhi Du; Weizhi Du; Theodore B. Norris; Theodore B. Norris

doi:10.1364/CLEO_AT.2022.JW3A.5

Conference on Lasers and Electro-Optics
Technical Digest Series (Optica Publishing Group, 2022),
paper JW3A.5
•https://doi.org/10.1364/CLEO_AT.2022.JW3A.5

Unsupervised Learning Based Focal Stack Camera Depth Estimation

Zhengyu Huang, Weizhi Du, and Theodore B. Norris

CLEO: Applications and Technology 2022

San Jose, California United States
15–20 May 2022
ISBN: 978-1-957171-05-0

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Joint Poster Session II-A (In-person) (JW3A)

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Z. Huang, W. Du, and T. B. Norris, "Unsupervised Learning Based Focal Stack Camera Depth Estimation," in Conference on Lasers and Electro-Optics, Technical Digest Series (Optica Publishing Group, 2022), paper JW3A.5.

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Abstract

We propose an unsupervised deep learning based method to estimate depth from focal stack camera images. On the NYU-v2 dataset, our method achieves much better depth estimation accuracy compared to single-image based methods.

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