abstract

TeeVR: spatial template-based acquisition, modeling, and rendering of large-scale indoor spaces

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Sungkil LeeAuthors Info & Claims

SIGGRAPH '19: ACM SIGGRAPH 2019 Emerging Technologies

Article No.: 25, Page 1

https://doi.org/10.1145/3305367.3327989

Published: 28 July 2019 Publication History

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Abstract

Conventional image-based rendering has limited applicability for large-scale spaces. In this study, we demonstrate an efficient alternative to conventional image-based rendering. Our key approach is based on a spatial template (ST), which solely includes architectural geometric primitives. The predictability of ST improves the efficiency of acquisition, storage, and rendering. Thereby, our system can be applied to the modeling and rendering of larger indoor spaces.

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References

[1]

Peter Hedman, Tobias Ritschel, George Drettakis, and Gabriel Brostow. 2016. Scalable Inside-Out Image-Based Rendering. ACM Transactions on Graphics 35, 6 (2016), 231.

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[2]

ChangHyun Jun, Jihwan Youn, Jongmoo Choi, Gérard Medioni, and Nakju Lett Doh. 2015. Convex Cut: A Realtime Pseudo-Structure Extraction Algorithm for 3D Point Cloud Data. In Proceedings of the 2015IEEE/RSJ International Conference on Intelligent Robots and Systems. 3922--3929.

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[3]

Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, and Thomas S Huang. 2018. Free-Form Image Inpainting with Gated Convolution. arXiv preprint arXiv:1806.03589 (2018).

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Cited By

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Kim JHyeon JChoi HJang BJeong BDoh N(2023)CLoc: Confident Initial Estimation of Long-Term Visual Localization Using a Few Sequential Images in Large-Scale SpacesIEEE Sensors Journal10.1109/JSEN.2023.325387223:8(8613-8629)Online publication date: 15-Apr-2023
https://doi.org/10.1109/JSEN.2023.3253872
Koo GKang JJang BDoh N(2022)Precise Camera–LiDAR Extrinsic Calibration Based on a Weighting Strategy Using Analytic Plane CovariancesIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2022.320254971(1-13)Online publication date: 2022
https://doi.org/10.1109/TIM.2022.3202549
Hyeon JKim JDoh N(2021)Pose Correction for Highly Accurate Visual Localization in Large-scale Indoor Spaces2021 IEEE/CVF International Conference on Computer Vision (ICCV)10.1109/ICCV48922.2021.01567(15954-15963)Online publication date: Oct-2021
https://doi.org/10.1109/ICCV48922.2021.01567
Show More Cited By

Index Terms

TeeVR: spatial template-based acquisition, modeling, and rendering of large-scale indoor spaces
1. Computing methodologies
  1. Computer graphics
    1. Graphics systems and interfaces
      1. Virtual reality
    2. Image manipulation
      1. Image-based rendering

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Published In

SIGGRAPH '19: ACM SIGGRAPH 2019 Emerging Technologies

July 2019

54 pages

ISBN:9781450363082

DOI:10.1145/3305367

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

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Published: 28 July 2019

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he Ministry of Land, Infrastructure and Transport (MOLIT)
the Ministry of Science and ICT (MSIT)

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SIGGRAPH

SIGGRAPH '19: Special Interest Group on Computer Graphics and Interactive Techniques Conference

July 28, 2019

California, Los Angeles

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Kim JHyeon JChoi HJang BJeong BDoh N(2023)CLoc: Confident Initial Estimation of Long-Term Visual Localization Using a Few Sequential Images in Large-Scale SpacesIEEE Sensors Journal10.1109/JSEN.2023.325387223:8(8613-8629)Online publication date: 15-Apr-2023
https://doi.org/10.1109/JSEN.2023.3253872
Koo GKang JJang BDoh N(2022)Precise Camera–LiDAR Extrinsic Calibration Based on a Weighting Strategy Using Analytic Plane CovariancesIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2022.320254971(1-13)Online publication date: 2022
https://doi.org/10.1109/TIM.2022.3202549
Hyeon JKim JDoh N(2021)Pose Correction for Highly Accurate Visual Localization in Large-scale Indoor Spaces2021 IEEE/CVF International Conference on Computer Vision (ICCV)10.1109/ICCV48922.2021.01567(15954-15963)Online publication date: Oct-2021
https://doi.org/10.1109/ICCV48922.2021.01567
Lim GOh YKim DJun CKang JDoh N(2020)Modeling of Architectural Components for Large-Scale Indoor Spaces From Point Cloud MeasurementsIEEE Robotics and Automation Letters10.1109/LRA.2020.29763275:3(3835-3842)Online publication date: Jul-2020
https://doi.org/10.1109/LRA.2020.2976327
Hyeon JKim DJang BChoi HYi DYoo KChoi JDoh N(2020)KR-Net: A Dependable Visual Kidnap Recovery Network for Indoor Spaces2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)10.1109/IROS45743.2020.9341597(8527-8533)Online publication date: 24-Oct-2020
https://doi.org/10.1109/IROS45743.2020.9341597
Koo GKang JJang BDoh N(2020)Analytic Plane Covariances Construction for Precise Planarity-based Extrinsic Calibration of Camera and LiDAR2020 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA40945.2020.9197149(6042-6048)Online publication date: May-2020
https://doi.org/10.1109/ICRA40945.2020.9197149

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Opacity light fields: interactive rendering of surface light fields with view-dependent opacity

A fast relighting engine for interactive cinematic lighting design

Image-based rendering of diffuse, specular and glossy surfaces from a single image

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