Name MIYACHI Hideo
Official Title Professor
Affiliation Information Systems, Imformatics
Profile My specialty is data visualization. Data visualization started as a research on the technology to visualize the results of numerical simulations using computer graphics, but now it has become a broad concept that refers to the technology to visualize large-scale measurement data and the technology to convert data into information that people can understand through statistical processing. Virtual reality and augmented reality as user interfaces between visualization results and people are also part of our research.
In the past, I have studied parallel and fast processing of visualization and point clouding for data lightening. We are currently developing a general-purpose visualization tool by building these research results on a game engine.
Research Field(Keyword & Summary)
  1. (1) Visualization using point clouds

    In normal visualization, the mapping process converts numerical data into a colored 3D model, and then the rendering process is performed. When visualizing a large amount of data that exceeds the resolution of a display, this order of processing results in most of the data being discarded after the time-consuming rendering process at the end of hidden surface elimination. It is possible to speed up the process by first generating the point cloud data for the part of the image that is visible from the surroundings, and then applying color processing only to the visible part.

  2. (2) Quantitative measurement of e-sports skills

    We use a high-frequency display to measure people's decision-making skills in e-sports. So far, our research has shown that people have the ability to use 360Hz displays effectively.

Representative Papers
  1. (1) Hideo Miyachi, Daisuke Matsuoka, Yoji Matsumoto: An alternative visualization pipeline for large-scale data sets by using early visibility test point rendering, International Journal of Modeling, Simulation, and Scientific Computing (Special Issue on Virtual Reality and Visualization for Modeling and Simulation) Vol.9, N0.3,
  2. (2) Koshiro Murakami, Kazuya Mkiyashita, Hideo Miyachi: A Study on the Relationship Between Refresh-Rate of Display and Reaction Time of eSports, 3PGCIC 2020, pp.339-347(2020)
  3. (3) Hideo Miyachi , Koshiro Murakami: A Study of 3D Shape Similarity Search in Point Representation by using Machine Learning, Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2019. Lecture Notes in Networks and Systems, vol 96. Springer, Cham pp.265-274(2019)
  4. (4) Hideo Miyachi: A Trial Development of 3D Statues Map with 3D Point Server, Advances in Networked-based Information Systems., NBiS Advances in Intelligent Systems and Computing, vol 1036. Springer, Cham(2019)
  5. (5) Hideo Miyachi, Isamu Kuroki: Server System of Converting from Surface Model to Point Model, The 13th International Workshop on Network-based Virtual Reality and Tele-existence (INVITE-2018), vol.22, pp. 467–475(2018)
  6. (6) Hideo Miyachi, Isamu Kuroki, Koji Koyamada, Daisuke Matsuoka: Development of Integrated Visual Analytic Tool with 3D Visualization, NBiS 2017: Advances in Network-Based Information Systems, pp 690-696(2017)
  7. (7) Hideo Miyachi, Koji Koyamada, Daisuke Matsuoka, Isamu Kuroki: Fusion Visualization System as an open science faundation, 2016 19th International Conference on Network-Based Information Systems,pp.401-404,(2016)
Grant-in-Aid for Scientific Research Support: Japan Society for Promotion of Science (JSPS)
Recruitment of research assistant(s) No.
Affiliated academic society (Membership type) The Visualization Sciety of Japan (Board), Japan Society for Simulation Technology (Board)
Education Field (Undergraduate level) Computer graphics, Linux server system
Education Field (Graduate level) Multi media information