The purpose of this study is to develop a method to effectively extract page data from a booklet 3D image acquired by using a 3D CT device using Laplace's equation, and to confirm its usefulness. The booklet is a combination of a plurality of pages printed with ink, and the main goal is to display the pages that make up the booklet without turning the pages.

  The theme of this article is the high-resolution visualization of large-scale 3D scanned data. In recent years, 3D scanning technologies such as laser scanning and photogrammetry have been developing. UAV (drones) that can carry the 3D scanning equipment have been developing rapidly, too. These developments have made it possible to record 3D structures in the real world as large-scale point clouds quickly and precisely. However, high-resolution visualization of the acquired point clouds is inferior to conventional visualizations such as fluid-simulation visualization and medical visualization. In this article, we pursue the visualization of 3D scanned point clouds as a problem of visualizing noisy point-cloud big data. We report our recent research results of high-resolution visualization, where the measurement noise disappears automatically. Our method adopts our original statistical approach that suits the noisy point-cloud big data.

In recent years, a new visualization framework that integrates scientific visualization and information visualization and incorporates analysis technology and VR / AR is expected. Therefore, we built a dataflow-type visualization framework on top of the game engine Unity, which was the basis for visualization in the early stages of scientific visualization. By building a system on Unity, not only will it be easier to develop applications that support multiple platforms such as PCs and smartphones, but it will also be easier to support the latest VR / AR devices, especially head-mounted displays: HMDs We hope that the boundary between the two visualizations will disappear and that the latest visualization technology can be integrated into one framework.

In psychological counseling dealing with the cognitive aspect, whether the counselor is paying attention to the client is said to appear in the utterance such as the question and interpretation administration given by the counselor. Effective visualization and analysis of the utterances by the counselor is considered to be significant for improving counseling skills. We have been developing a system that supports visual analysis by conversation contents based on verbatim data of psychological counseling. In this paper, as a verification of the further usefulness of this system, a expert counselor visually analyzed and evaluated based on various visualization results with verbatim data of actual counseling by beginner and intermediate counselors, As these results, we showed that various characteristics related to the utterance content and volume on the counselor side can be visually confirmed.

This article introduces the studies on visualization of social media. The article firstly defines the social media that we target as the input data of the visualization study. Then, representative studies on visualization of social media are exhaustively introduced. Finally, the article introduces the author's own studies on visualization of social media.