• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Casual 6-DoF: Free-Viewpoint Panorama Using a Handheld 360° Camera.

作者信息

Chen Rongsen, Zhang Fang-Lue, Finnie Simon, Chalmers Andrew, Rhee Taehyun

出版信息

IEEE Trans Vis Comput Graph. 2023 Sep;29(9):3976-3988. doi: 10.1109/TVCG.2022.3176832. Epub 2023 Aug 1.

DOI:10.1109/TVCG.2022.3176832
PMID:35605000
Abstract

Six degrees-of-freedom (6-DoF) video provides telepresence by enabling users to move around in the captured scene with a wide field of regard. Compared to methods requiring sophisticated camera setups, the image-based rendering method based on photogrammetry can work with images captured with any poses, which is more suitable for casual users. However, existing image-based rendering methods are based on perspective images. When used to reconstruct 6-DoF views, it often requires capturing hundreds of images, making data capture a tedious and time-consuming process. In contrast to traditional perspective images, 360° images capture the entire surrounding view in a single shot, thus, providing a faster capturing process for 6-DoF view reconstruction. This article presents a novel method to provide 6-DoF experiences over a wide area using an unstructured collection of 360° panoramas captured by a conventional 360° camera. Our method consists of 360° data capturing, novel depth estimation to produce a high-quality spherical depth panorama, and high-fidelity free-viewpoint generation. We compared our method against state-of-the-art methods, using data captured in various environments. Our method shows better visual quality and robustness in the tested scenes.

摘要

相似文献

1
Casual 6-DoF: Free-Viewpoint Panorama Using a Handheld 360° Camera.
IEEE Trans Vis Comput Graph. 2023 Sep;29(9):3976-3988. doi: 10.1109/TVCG.2022.3176832. Epub 2023 Aug 1.
2
MegaParallax: Casual 360° Panoramas with Motion Parallax.巨视差:具有运动视差效果的休闲360°全景图。
IEEE Trans Vis Comput Graph. 2019 May;25(5):1828-1835. doi: 10.1109/TVCG.2019.2898799. Epub 2019 Feb 25.
3
Dream360: Diverse and Immersive Outdoor Virtual Scene Creation via Transformer-Based 360° Image Outpainting.Dream360:通过基于Transformer的360°图像外绘创建多样化且沉浸式的户外虚拟场景。
IEEE Trans Vis Comput Graph. 2024 May;30(5):2734-2744. doi: 10.1109/TVCG.2024.3372085. Epub 2024 Apr 19.
4
High-dimensional camera shake removal with given depth map.利用给定的深度图去除高维相机抖动。
IEEE Trans Image Process. 2014 Jun;23(6):2688-703. doi: 10.1109/TIP.2014.2320368.
5
ProbIBR: Fast Image-Based Rendering With Learned Probability-Guided Sampling.
IEEE Trans Vis Comput Graph. 2025 Mar;31(3):1888-1901. doi: 10.1109/TVCG.2024.3372152. Epub 2025 Jan 30.
6
Vari-Focal Light Field Camera for Extended Depth of Field.用于扩展景深的变焦光场相机。
Micromachines (Basel). 2021 Nov 26;12(12):1453. doi: 10.3390/mi12121453.
7
Parallax360: Stereoscopic 360° Scene Representation for Head-Motion Parallax.Parallax360:用于头部运动视差的立体 360°场景表示。
IEEE Trans Vis Comput Graph. 2018 Apr;24(4):1545-1553. doi: 10.1109/TVCG.2018.2794071.
8
Automated Data Annotation for 6-DoF AI-Based Navigation Algorithm Development.用于基于人工智能的六自由度导航算法开发的自动数据标注
J Imaging. 2021 Nov 10;7(11):236. doi: 10.3390/jimaging7110236.
9
Flexible depth of field photography.灵活的景深摄影。
IEEE Trans Pattern Anal Mach Intell. 2011 Jan;33(1):58-71. doi: 10.1109/TPAMI.2010.66.
10
Construction of All-in-Focus Images Assisted by Depth Sensing.基于深度感知的全聚焦图像构建。
Sensors (Basel). 2019 Mar 22;19(6):1409. doi: 10.3390/s19061409.