Fractal map: Fractal-based 2D expansion method for multi-scale high-dimensional data visualization

Takanori Fujiwara, Ryo Matsushita, Masaki Iwamaru, Manabu Tange, Satoshi Someya, Koji Okamoto

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

Visualization of high-dimensional data is difficult to realize and manipulate with 2D display. For example, visualizing time-varying volume data (4D) with volume rendering and animation has spatial and temporal shielding, and data of 5 or more dimensions cannot be visualized on 2D display with existing methods. In this paper, we propose a method that expands high-dimensional data onto a 2D image plane. The proposed method uses the self-similarity of the fractal shape and achieves multi-scale high-dimensional data visualization on 2D display. With this method, we can visualize the entire domain of high-dimensional data without occlusions. Also, one-to-one correspondence in the elements of high-dimensional data and its 2D expansion enables us to manipulate high-dimensional data with 2D expanded result as an interface.

元の言語English
ホスト出版物のタイトルAdvances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings
ページ306-315
ページ数10
エディションPART 1
DOI
出版物ステータスPublished - 2010
イベント6th International, Symposium on Visual Computing, ISVC 2010 - Las Vegas, NV, United States
継続期間: 2010 11 292010 12 1

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)
番号PART 1
6453 LNCS
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

Other

Other6th International, Symposium on Visual Computing, ISVC 2010
United States
Las Vegas, NV
期間10/11/2910/12/1

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

フィンガープリント Fractal map: Fractal-based 2D expansion method for multi-scale high-dimensional data visualization' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Fujiwara, T., Matsushita, R., Iwamaru, M., Tange, M., Someya, S., & Okamoto, K. (2010). Fractal map: Fractal-based 2D expansion method for multi-scale high-dimensional data visualization. : Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings (PART 1 版, pp. 306-315). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 6453 LNCS, 番号 PART 1). https://doi.org/10.1007/978-3-642-17289-2_30