skip to main content
10.1145/3550082.3564201acmconferencesArticle/Chapter ViewAbstractPublication Pagessiggraph-asiaConference Proceedingsconference-collections
poster

Recursive Rendering of 2D Images for Accurate Pose Estimation in a 3D Mesh Map

Published: 13 December 2022 Publication History

Abstract

Image-based pose estimation generally needs 3D map generation, which is costly in practice. In this paper, we propose a method to accurately estimate the pose by recursively rendering 2D images from a generic 3D city mesh map and updating the pose.

References

[1]
Yohei Hanaoka, Suwichaya Suwanwimolkul, and Satoshi Komorita. 2022. tokyo-localization-2022 dataset. https://github.com/yohanaoka/tokyo-localization-2022.
[2]
Michael Hölzl, Roland Neumeier, and Gerald Ostermayer. 2013. Analysis of compass sensor accuracy on several mobile devices in an industrial environment. In International Conference on Computer Aided Systems Theory. Springer, 381–389.
[3]
Ministry of Land, Infrastructure, Transport and Tourism. 2020. PLATEAU. https://www.mlit.go.jp/plateau/.
[4]
Jerome Revaud, Philippe Weinzaepfel, César Roberto de Souza, and Martin Humenberger. 2019. R2D2: Repeatable and Reliable Detector and Descriptor. In NeurIPS.
[5]
Jiaming Sun, Zehong Shen, Yuang Wang, Hujun Bao, and Xiaowei Zhou. 2021. LoFTR: Detector-free local feature matching with transformers. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 8922–8931.
[6]
Akihiko Torii, Relja Arandjelovic, Josef Sivic, Masatoshi Okutomi, and Tomas Pajdla. 2015. 24/7 place recognition by view synthesis. In Proceedings of the IEEE conference on computer vision and pattern recognition. 1808–1817.

Cited By

View all
  • (2023)Coarse to Fine Recursive Image-based Localization on a $3\mathrm{D}$ Mesh Map2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW58643.2023.00162(639-640)Online publication date: Mar-2023

Index Terms

  1. Recursive Rendering of 2D Images for Accurate Pose Estimation in a 3D Mesh Map
        Index terms have been assigned to the content through auto-classification.

        Recommendations

        Comments

        Information & Contributors

        Information

        Published In

        cover image ACM Conferences
        SA '22: SIGGRAPH Asia 2022 Posters
        December 2022
        120 pages
        ISBN:9781450394628
        DOI:10.1145/3550082
        • Editors:
        • Soon Ki Jung,
        • Neil Dodgson
        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.

        Sponsors

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 13 December 2022

        Check for updates

        Qualifiers

        • Poster
        • Research
        • Refereed limited

        Conference

        SA '22
        Sponsor:
        SA '22: SIGGRAPH Asia 2022
        December 6 - 9, 2022
        Daegu, Republic of Korea

        Acceptance Rates

        Overall Acceptance Rate 178 of 869 submissions, 20%

        Contributors

        Other Metrics

        Bibliometrics & Citations

        Bibliometrics

        Article Metrics

        • Downloads (Last 12 months)6
        • Downloads (Last 6 weeks)0
        Reflects downloads up to 03 Mar 2025

        Other Metrics

        Citations

        Cited By

        View all
        • (2023)Coarse to Fine Recursive Image-based Localization on a $3\mathrm{D}$ Mesh Map2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW58643.2023.00162(639-640)Online publication date: Mar-2023

        View Options

        Login options

        View options

        PDF

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader

        HTML Format

        View this article in HTML Format.

        HTML Format

        Figures

        Tables

        Media

        Share

        Share

        Share this Publication link

        Share on social media