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Camera pose estimation by using aerial images as an external reference

Research Project

Project/Area Number 26330193
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Perceptual information processing
Research InstitutionNara Institute of Science and Technology

Principal Investigator

Sato Tomokazu  奈良先端科学技術大学院大学, 情報科学研究科, 准教授 (50362835)

Project Period (FY) 2014-04-01 – 2017-03-31
Project Status Completed (Fiscal Year 2016)
Budget Amount *help
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2016: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2015: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2014: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Keywords動画像からの三次元復元 / Structure from motion / 空撮画像 / Bundle adjustment / コンピュータビジョン / RANSAC / 再投影誤差 / visual SLAM / 三次元復元 / 航空写真 / カメラ位置・姿勢推定 / Structure from motion法
Outline of Final Research Achievements

In this research, we propose a novel method for estimating camera poses from a video sequence using aerial images as an external reference. Conventionally, there was a problem of accumulative errors in camera pose estimation especially in the case that the target video is taken with long-distance movement. In order to solve this problem, we have used feature points on both video images taken in the ground and aerial images. With the experiments, we have confirmed that our method can successfully reduce the accumulation or errors and which can much increase the accuracy of the camera pose estimation.

Report

(4 results)
  • 2016 Annual Research Report   Final Research Report ( PDF )
  • 2015 Research-status Report
  • 2014 Research-status Report

Research Products

(6 results)

All 2017 2016 2015 2014

All Journal Article (1 results) (of which Peer Reviewed: 1 results,  Acknowledgement Compliant: 1 results) Presentation (4 results) (of which Invited: 1 results) Book (1 results)

  • [Journal Article] Bundle adjustment using aerial images with two-stage geometric verification2015

    • Author(s)
      H. Kume, T. Sato, and N. Yokoya
    • Journal Title

      Computer Vision and Image Understanding

      Volume: 138 Pages: 74-84

    • DOI

      10.1016/j.cviu.2015.05.003

    • NAID

      120005867187

    • Related Report
      2015 Research-status Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Presentation] DNNを用いたカメラの6自由度相対運動推定2017

    • Author(s)
      橋岡 佳輝, 大谷 まゆ, 中島 悠太, 佐藤 智和, 横矢 直和
    • Organizer
      情報処理学会 研究報告
    • Place of Presentation
      国立情報学研究所(NII)、東京都千代田区
    • Year and Date
      2017-03-09
    • Related Report
      2016 Annual Research Report
  • [Presentation] 航空写真を用いたVisual SLAMの蓄積誤差軽減手法2016

    • Author(s)
      宮本 拓弥, 武原 光, 佐藤 智和, 河合 紀彦, 横矢 直和
    • Organizer
      電子情報通信学会総合大会
    • Place of Presentation
      九州大学 伊都キャンパス(福岡県福岡市)
    • Year and Date
      2016-03-15
    • Related Report
      2015 Research-status Report
  • [Presentation] GPS・航空写真の併用による動画像からのカメラ位置・姿勢推定2014

    • Author(s)
      粂 秀行, 佐藤 智和, 穴井 哲治, 武富 貴史, 高地 伸夫, 横矢 直和
    • Organizer
      平成26年度第4回動体計測研究会
    • Place of Presentation
      東京大学(東京都目黒区駒場)
    • Year and Date
      2014-12-05
    • Related Report
      2014 Research-status Report
    • Invited
  • [Presentation] Sampling-based bundle adjustment using aerial images as external references2014

    • Author(s)
      H. Kume, T. Sato, and N. Yokoya
    • Organizer
      画像の認識・理解シンポジウム(MIRU)
    • Place of Presentation
      岡山コンベンションセンター(岡山県岡山市北区駅元町)
    • Year and Date
      2014-07-29 – 2014-07-31
    • Related Report
      2014 Research-status Report
  • [Book] GPS測位情報の併用による動画像からのカメラ位置・姿勢推定の高精度化2014

    • Author(s)
      粂 秀行, 佐藤 智和, 武富 貴史, 横矢 直和, 穴井 哲治, 高地 伸夫
    • Total Pages
      8
    • Publisher
      画像ラボ, Vol. 25, No.12
    • Related Report
      2014 Research-status Report

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Published: 2014-04-04   Modified: 2018-03-22  

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