Monocular Indoor Depth Estimation Method Based on Neural Networks with Constraints on Two-Dimensional Images and Three-Dimensional Geometry

Hao Sha; Yue Liu; Yongtian Wang; Chenguang Lu; Mengze Zhao

doi:10.3788/AOS202242.1911001

Acta Optica Sinica, Volume. 42, Issue 19, 1911001(2022)

Monocular Indoor Depth Estimation Method Based on Neural Networks with Constraints on Two-Dimensional Images and Three-Dimensional Geometry

Hao Sha, Yue Liu^*, Yongtian Wang, Chenguang Lu, and Mengze Zhao

Author Affiliations

Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China

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Hao Sha, Yue Liu, Yongtian Wang, Chenguang Lu, Mengze Zhao. Monocular Indoor Depth Estimation Method Based on Neural Networks with Constraints on Two-Dimensional Images and Three-Dimensional Geometry[J]. Acta Optica Sinica, 2022, 42(19): 1911001

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Paper Information

Category: Imaging Systems

Received: Nov. 22, 2021

Accepted: Dec. 24, 2021

Published Online: Oct. 18, 2022

The Author Email: Liu Yue (liuyue@bit.edu.cn)

DOI:10.3788/AOS202242.1911001

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