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Fast and memory-less multi modality image matching based on higher order graph matching

Research Project

Project/Area Number 16K16087
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Perceptual information processing
Research InstitutionTottori University

Principal Investigator

OYAMADA Yuji  鳥取大学, 工学研究科, 助教 (30708615)

Project Period (FY) 2016-04-01 – 2019-03-31
Project Status Completed (Fiscal Year 2018)
Budget Amount *help
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2018: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2017: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
KeywordsImage Matching / Deep Learning / 特徴量 / マッチング / コンピュータビジョン / パターン認識 / グラフマッチング / MRF最適化 / 深層学習 / 画像 / 情報システム / 幾何学 / アルゴリズム / 機械学習
Outline of Final Research Achievements

I have changed the original research plan and done the following works. Task 1 is a deep learning solution for a rigid motion estimation from 2 images. Task 2 is an application based on the previous outcome such as transparent markers and inpainting.I have done 2 presentation in international conference and received 1 Honorable Mentions for a poster presentation.
I have conducting some experiments to compare the method and state-of-the-arts on multi modality image matching.

Academic Significance and Societal Importance of the Research Achievements

画像のマッチングは複数枚の画像を比較し画像から有用な情報を抽出するために必要な前処理である.深層学習による画像のマッチングにより,既存の画像解析システム・アプリの適用先が広がると考えられる.

Report

(4 results)
  • 2018 Annual Research Report   Final Research Report ( PDF )
  • 2017 Research-status Report
  • 2016 Research-status Report
  • Research Products

    (7 results)

All 2019 2018 Other

All Int'l Joint Research (1 results) Presentation (4 results) (of which Int'l Joint Research: 3 results) Remarks (2 results)

  • [Int'l Joint Research] Ecole Superieure d'Ingenieurs de Rennes(フランス)

    • Related Report
      2018 Annual Research Report
  • [Presentation] Texture synthesis for stable planar tracking2019

    • Author(s)
      Clement Gledel, Hideaki Uchiyama, Yuji Oyamada, Rin-ichiro Taniguchi
    • Organizer
      Virtual Reality Software and Technology
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Transparent Random Dot Markers2019

    • Author(s)
      Hideaki Uchiyama, Yuji Oyamada
    • Organizer
      International Conference on Pattern Recognition
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 深層畳み込みニューラルネットワークによる単一距離画像とその法線 マップを用いた物体識別2018

    • Author(s)
      大西 友貴, 小山田 雄仁, 三柴 数, 近藤 克哉
    • Organizer
      電子情報通信学会PRMU研究会
    • Related Report
      2017 Research-status Report
  • [Presentation] Deep Convolutional 3D Object Classification from a Single Depth Image and Its Normal Map2018

    • Author(s)
      Yuji Oyamada, Tomotaka Ohnishi, Kazu Mishiba and Katsuya Kondo
    • Organizer
      The International Workshop on Frontiers of Computer Vision
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research
  • [Remarks] Transparent Random Dot Markers

    • URL

      https://sites.google.com/view/dryujioyamada/research/transparent-random-dot-markers

    • Related Report
      2018 Annual Research Report
  • [Remarks] Texture synthesis for stable planar tracking

    • URL

      https://sites.google.com/view/dryujioyamada/research/texture-synthesis-for-better-trackability

    • Related Report
      2018 Annual Research Report

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Published: 2016-04-21   Modified: 2020-03-30  

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