Visual data mining in immersive virtual environment based on 4K stereo images

Tetsurou Ogi, Yoshisuke Tateyama, So Sato

研究成果: Conference contribution

2 引用 (Scopus)

抄録

In this study, super high-definition immersive visual data mining environment using 4K stereo projector was developed. In this system, data can be represented with high accuracy in the three-dimensional space using the super high-definition stereo images, and the user can recognize the relation among several kinds of data by integrating them in the immersive environment using the plug-in function. This system was applied to the seismic data visualization and the effectiveness of this system was evaluated.

元の言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ページ472-481
ページ数10
5622 LNCS
DOI
出版物ステータスPublished - 2009
イベント3rd International Conference on Virtual and Mixed Reality, VMR 2009. Held as Part of HCI International 2009 - San Diego, CA, United States
継続期間: 2009 7 192009 7 24

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5622 LNCS
ISSN(印刷物)03029743
ISSN(電子版)16113349

Other

Other3rd International Conference on Virtual and Mixed Reality, VMR 2009. Held as Part of HCI International 2009
United States
San Diego, CA
期間09/7/1909/7/24

Fingerprint

Visual Data Mining
Data visualization
Virtual Environments
Virtual reality
Data mining
Data Visualization
Plug-in
Projector
High Accuracy
Three-dimensional

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

これを引用

Ogi, T., Tateyama, Y., & Sato, S. (2009). Visual data mining in immersive virtual environment based on 4K stereo images. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (巻 5622 LNCS, pp. 472-481). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 5622 LNCS). https://doi.org/10.1007/978-3-642-02771-0_53

Visual data mining in immersive virtual environment based on 4K stereo images. / Ogi, Tetsurou; Tateyama, Yoshisuke; Sato, So.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 巻 5622 LNCS 2009. p. 472-481 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻 5622 LNCS).

研究成果: Conference contribution

Ogi, T, Tateyama, Y & Sato, S 2009, Visual data mining in immersive virtual environment based on 4K stereo images. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 巻. 5622 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 巻. 5622 LNCS, pp. 472-481, 3rd International Conference on Virtual and Mixed Reality, VMR 2009. Held as Part of HCI International 2009, San Diego, CA, United States, 09/7/19. https://doi.org/10.1007/978-3-642-02771-0_53
Ogi T, Tateyama Y, Sato S. Visual data mining in immersive virtual environment based on 4K stereo images. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 巻 5622 LNCS. 2009. p. 472-481. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-02771-0_53
Ogi, Tetsurou ; Tateyama, Yoshisuke ; Sato, So. / Visual data mining in immersive virtual environment based on 4K stereo images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 巻 5622 LNCS 2009. pp. 472-481 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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