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3D indoor scene geometry estimation from a single omnidirectional image:A comprehensive survey

Ming Meng Yonggui Zhu Yufei Zhao Zhaoxin Li Zhe Zhu

计算可视媒体（英文）2025，Vol.11Issue(3)：431-464,34.

计算可视媒体（英文）2025，Vol.11Issue(3)：431-464,34.DOI:10.26599/CVM.2025.9450438

3D indoor scene geometry estimation from a single omnidirectional image:A comprehensive survey

Ming Meng ¹Yonggui Zhu ¹Yufei Zhao ¹Zhaoxin Li ²Zhe Zhu³

作者信息

1. School of Data Science and Media Intelligence,Communication University of China,Beijing 100024,China
2. Agricultural Information Institute,Chinese Academy of Agricultural Sciences,Beijing 100081,China
3. Samsung Research America,USA
折叠

摘要

关键词

3D scene geometry/omnidirectional images/structure recovery/depth estimation/layout recovery

Key words

3D scene geometry/omnidirectional images/structure recovery/depth estimation/layout recovery

引用本文复制引用

Ming Meng,Yonggui Zhu,Yufei Zhao,Zhaoxin Li,Zhe Zhu..3D indoor scene geometry estimation from a single omnidirectional image:A comprehensive survey[J].计算可视媒体（英文）,2025,11(3):431-464,34.

基金项目

This work was supported by the National Natural Science Foundation of China(11571325),the State Key Laboratory of Virtual Reality Technology and Systems,Beihang University(VRLAB2023C04),the Fundamental Research Funds for the Central Universities(CUC22GP005,CUC2019A002),and Pubic Computing Cloud,CUC. （11571325）

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