Surface normal and Gaussian weight constraints for indoor depth structure completion-Reference-Cited by-同舟云学术

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Surface normal and Gaussian weight constraints for indoor depth structure completion

Published:2023-06 Issue: Volume:138 Page:109362
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Ren Dongran,Yang Meng,Wu Jiangfan,Zheng Nanning

Funder

National Natural Science Foundation of China

Natural Science Basic Research Program of Shaanxi Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference42 articles.

1. DPNet: detail-preserving network for high quality monocular depth estimation;Ye;Pattern Recognit.,2021

2. Boundary-induced and scene-aggregated network for monocular depth prediction;Xue;Pattern Recognit.,2021

3. Joint prediction of monocular depth and structure using planar and parallax geometry;Xing;Pattern Recognit.,2022

4. Time-of-fight and structure light depth cameras;Zanuttigh,2016

5. Incremental Rotation Averaging;Gao;Int. J. Comput. Vis.,2021

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