2021 Fiscal Year Final Research Report
Representing virtual shadows without dimming mechanism for optical see-through type displays
| Project/Area Number |
19K22882
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| Research Category |
Grant-in-Aid for Challenging Research (Exploratory)
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| Allocation Type | Multi-year Fund |
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| Review Section |
Medium-sized Section 61:Human informatics and related fields
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| Research Institution | Ritsumeikan University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
木村 朝子 立命館大学, 情報理工学部, 教授 (20324832)
田村 秀行 立命館大学, 総合科学技術研究機構, 教授 (10367998)
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| Project Period (FY) |
2019-06-28 – 2022-03-31
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| Keywords | 光学シースルー / 複合現実感 / 影表現 / 錯覚 / 透明物体 |
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| Outline of Final Research Achievements |
The purpose of this research is to present virtual shadows on a real surface for optical see-through (OST) head-mounted displays. Due to the principle of the OST method, it is difficult to express virtual shadows that cannot be realized without devices which selectively reduce or intercept the light rays from the real scene. Therefore, we proposed a method to express the shadow of a virtual object by using the human brightness perception characteristic. The virtual shadows are based on the simultaneous brightness-contrast illusion in which a central region surrounded by a lighter one is perceived as darker than one without such a lighter region. Furthermore, we tackled a new issue of how to express virtual transparent objects for OST-type devices. In addition, as an application to ITS field, we assumed the presentation of information on the head-up display of a vehicle and tried to visualize the hidden area generated by the surrounding vehicles by using diminished reality technique.
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| Free Research Field |
複合現実感，モバイルコンピューティング
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| Academic Significance and Societal Importance of the Research Achievements |
OST方式における従来のキャストシャドウの表現手法は入射光量が減衰する，装置が複雑化する，電力消費が増大するなどの課題を抱えていた．一方，本研究の提案手法は，光を加算することによって光量が減衰したかのように知覚させるという逆転の発想に基づく意欲的な試みであり，これによってキャストシャドウを表現できれば，仮想物体の位置を正確に示すこと可能となる．位置・姿勢推定精度の低さに起因する仮想物体位置の不正確さを感じにくくさせることや，キャストシャドウの色を変色させて仮想物体の透明感を表現するなど，様々なAR/MR応用分野において活用可能な技術へと展開でき社会的な意義も大きい．
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