Yuchi Yahagi

AIR-range

Abstruct

Mid-air images in a three-dimensional space beyond a screen enable users to observe virtual content without wearing any devices. When using a symmetrical mirror structure with dual slit-mirror arrays, the system enables the display of a large mid-air image by integrating multiple imaging paths. However, in the mirror design used in previous research, the luminance was discontinuous. In this study, we propose a novel tabletop system in which a tall mid-air image with continuous luminance is superimposed onto physical objects. Our proposed system, called “AIR-range”, presents mid-air images that appear seamlessly from the table surface to mid-air. By theorizing the relationship between the parameters of optical systems and luminance of mid-air images, we optimized the optical systems to minimize the difference in luminance between the imaging paths. The results of the comparison with the previous method showed an improvement in luminance continuity.

Publications

  1. [Free Access] Tomoyo Kikuchi, Yuchi Yahagi, Shogo Fukushima, Saki Sakaguchi, and Takeshi Naemura: “AIR-range: Designing optical systems to present a tall mid-AIR image with continuous luminance on and above a tabletop”, ITE Transactions on Media Technology and Applications, vol. 11, no. 2, pp. 75–87 (2023.4).

  2. Tomoyo Kikuchi, Yuchi Yahagi, Shogo Fukushima, Saki Sakaguchi, and Takeshi Naemura: “AIR-range: Arranging optical systems to present mid-AIR images with continuous luminance on and above a tabletop,” 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (IEEE VR), A-C43, Virtual Event (2022.3). :medal: Best Poster - Nominee

  3. [Free Access] Tomoyo Kikuchi, Yuchi Yahagi, Shogo Fukushima, Saki Sakaguchi, and Takeshi Naemura: “AIR-range: Arranging mid-AIR images from the table surface to the mid-air space considering luminance continuity,” the 26th Annual Conference of the Virtual Reality Society of Japan, 1D3-3 (2021.9).

Contribution

  • Manuscript writing
  • Video editing
  • Application idea

Awards

  1. Best Poster - Nominee, IEEE VR 2022, 2022.3.