MODE: Monocular omnidirectional depth estimation via consistent depth fusion-Reference-Cited by-同舟云学术

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MODE: Monocular omnidirectional depth estimation via consistent depth fusion

Published:2023-08 Issue: Volume:136 Page:104723
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Liu Yunbiao,Chen Chunyi

Funder

Changchun University of Science and Technology

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference41 articles.

1. Motion parallax for 360° rgbd video;Serrano;IEEE Trans. Vis. Comput. Graph.,2019

2. Omnilayout room layout reconstruction from indoor spherical panoramas;Rao,2021

3. Distortion-aware convolutional filters for dense prediction in panoramic images;Tateno,2018

4. Indoor panorama planar 3d reconstruction via divide and conquer;Sun,2021

5. Spherephd: applying cnns on a spherical polyhedron representation of 360° images;Lee,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GDM-depth: Leveraging global dependency modelling for self-supervised indoor depth estimation;Image and Vision Computing;2024-09

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