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The synthesis method for viewing angle-based hybrid image by using angle-dependent frequency noises

Research Project

Project/Area Number 19K20302
Research Category

Grant-in-Aid for Early-Career Scientists

Allocation TypeMulti-year Fund
Review Section Basic Section 61010:Perceptual information processing-related
Research InstitutionShibaura Institute of Technology

Principal Investigator

Sripian Peeraya  芝浦工業大学, 工学部, 准教授 (70822542)

Project Period (FY) 2019-04-01 – 2024-03-31
Project Status Completed (Fiscal Year 2023)
Budget Amount *help
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2021: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2020: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2019: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Keywords画像処理 / ビデオ処理 / 計算錯覚 / 錯視 / 知覚 / 距離 / 応用錯視 / 人間視覚 / ハイブリッド画像 / Psychophysics / 知覚の実験 / 主観評価 / 人間認知 / 錯覚 / 空間周波数フィルタ / バンドパスフィルタ / 感情推定 / デジタルアーツ / 人間視覚感度関数 / デジタルフィルタリング / 空間周波数 / コントラスト感度関数 / 錯覚検証 / リンキングノイズ / 周波数ノイズ / 周波数感度
Outline of Research at the Start

ハイブリッド画像は,重ね合わせた2枚の画像において距離により見え方が異なる画像である.本研究は、従来のハイブリッド画像の生成方法に加えて,距離のみならず任意の角度においても必要な情報のみを表示可能とする新規のハイブリッド画像の作成が実現する研究である.空間周波数フィルタリングに異方向ノイズを付加する手法の開発,コントラスト感度調節等の各種画像処理方法アルゴリズムの最適化により実施する.本研究の成果は,簡便な方法で必要な距離および角度において異なる情報を提示できる新たなディスプレイ方法に発展する可能性を秘めている.

Outline of Final Research Achievements

We developed the technology to create the new hybrid image, which is the method to allows different images to be perceived from specific distances. Firstly, we developed a technique for displaying hybrid images composed of three layers, enabling the effective presentation of multiple pieces of information within a single image. This innovation holds promise for enhancing the safety of visual information and opens up new avenues for applications in advertising and education. Additionally, we conducted evaluation experiments applying this technology to hybrid videos, confirming that different images can be perceived depending on the viewing distance, similar to the effects observed with static images. These achievements expand the possibilities of information display technology and are expected to contribute to further research and technological developments in the future.

Academic Significance and Societal Importance of the Research Achievements

本研究は、特定の距離や角度から異なる画像が見える「ハイブリッド画像」技術を改良し、静止画や動画への応用を探求しました。3枚の画像を重ねることで、より多様な情報を1つの画像に集約でき、視覚的隠蔽技術や大規模な表示板での情報提供方法の改善が期待されます。また、教育やエンターテイメント分野での応用も可能で、視覚情報の安全性向上や新たなエンターテイメントの創出に貢献します。これにより、広告・マーケティング分野での革新的な手法としても期待されます。

Report

(6 results)
  • 2023 Annual Research Report   Final Research Report ( PDF )
  • 2022 Research-status Report
  • 2021 Research-status Report
  • 2020 Research-status Report
  • 2019 Research-status Report
  • Research Products

    (14 results)

All 2023 2022 2021 2020 2019

All Journal Article (5 results) (of which Int'l Joint Research: 5 results,  Peer Reviewed: 5 results,  Open Access: 5 results) Presentation (9 results) (of which Int'l Joint Research: 5 results,  Invited: 1 results)

  • [Journal Article] Magnification Illusion: Change of Interpretation when Viewing Through a Telescope2023

    • Author(s)
      Peeraya Sripian, Takashi Ijiri, Yasushi Yamaguchi
    • Journal Title

      Journal for Geometry and Graphics

      Volume: 27 Pages: 81-101

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] The Implementation and Evaluation of Individual Preference in Robot Facial Expression Based on Emotion Estimation Using Biological Signals2021

    • Author(s)
      Sripian Peeraya、Anuardi Muhammad Nur Adilin Mohd、Yu Jiawei、Sugaya Midori
    • Journal Title

      Sensors

      Volume: 21 Issue: 18 Pages: 6322-6322

    • DOI

      10.3390/s21186322

    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Emotion-sensitive voice-casting care robot in rehabilitation using real-time sensing and analysis of biometric information2021

    • Author(s)
      Sripian Peeraya、Anuardi Muhammad Nur Adilin Mohd、Ito Teppei、Tobe Yoshito、Sugaya Midori
    • Journal Title

      Journal of Ambient Intelligence and Smart Environments

      Volume: 13 Issue: 6 Pages: 413-431

    • DOI

      10.3233/ais-210614

    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Empathetic robot evaluation through emotion estimation analysis and facial expression synchronization from biological information2021

    • Author(s)
      Sripian Peeraya、Mohd Anuardi Muhammad Nur Adilin、Kajihara Yushun、Sugaya Midori
    • Journal Title

      Artificial Life and Robotics

      Volume: 26 Issue: 4 Pages: 379-389

    • DOI

      10.1007/s10015-021-00696-w

    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Hybrid image of three contents2020

    • Author(s)
      Peeraya Sripian, Yasushi Yamaguchi
    • Journal Title

      Visual Computing for Industry, Biomedicine, and Art

      Volume: 3 Issue: 1 Pages: 1-8

    • DOI

      10.1186/s42492-019-0036-3

    • Related Report
      2019 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Presentation] ハイブリッド・イメージ手法による動画合成2023

    • Author(s)
      奥村 秀岳(高知工科大),Sripian Peeraya(芝浦工大),西野 裕樹(高知工科大)
    • Organizer
      Interaction 2023
    • Related Report
      2022 Research-status Report
  • [Presentation] Preliminary Experiments in Hybrid Moving Images2023

    • Author(s)
      Hidetaka OKUMURA, Peeraya SRIPIAN, and Hiroki NISHINO
    • Organizer
      HCI INTERNATIONAL 2023
    • Related Report
      2022 Research-status Report
    • Int'l Joint Research
  • [Presentation] 双眼鏡錯視について2022

    • Author(s)
      スリーピァン ピーラヤー、山口泰
    • Organizer
      第16回錯覚ワークショップ
    • Related Report
      2021 Research-status Report
    • Invited
  • [Presentation] BINOCULARS’ ILLUSION - LINEAR PERSPECTIVE PERCEPTION IN BINOCULARS ON GROUND2021

    • Author(s)
      Peeraya Sripian, Takashi Ijiri, Yasushi Yamaguchi
    • Organizer
      Asian Forum on Graphic Science 2021
    • Related Report
      2021 Research-status Report
    • Int'l Joint Research
  • [Presentation] End-to-End Deep Learning for pNN50 Estimation Using a Spatiotemporal Representation2021

    • Author(s)
      Sayyedjavad Ziaratnia, Peeraya Sripian, Kazuo Ohzeki, Midori Sugaya
    • Organizer
      クラウドネットワークロボット研究会(CNR)
    • Related Report
      2020 Research-status Report
  • [Presentation] End-to-End Deep Learning for Remote pNN50 Estimation Using a Spatiotemporal Representation2021

    • Author(s)
      Sayyedjavad Ziaratnia1, Peeraya Sripian, Tipporn Laohakangvalvit, Kazuo Ohzeki and Midori Sugaya
    • Organizer
      HCI International 2021
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] End-to-End Deep Learning for pNN50 Estimation Using a Spatiotemporal Representation2021

    • Author(s)
      Sayyedjavad Ziaratnia, Peeraya Sripian, Kazuo Ohzeki, Midori Sugaya
    • Organizer
      The 35th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI2021)
    • Related Report
      2020 Research-status Report
  • [Presentation] Hybrid Image of Three Contents2019

    • Author(s)
      Peeraya Sripian
    • Organizer
      Cumulus Rovaniemi 2019
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] Hybrid Image of Three Contents2019

    • Author(s)
      Peeraya Sripian
    • Organizer
      Asian Forum on Graphic Science 2019
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research

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Published: 2019-04-18   Modified: 2025-01-30  

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