| 言語種別 | 英語 |
|---|---|
| 発行・発表の年月 | 2021/12/06 |
| 形態種別 | 国際会議論文 |
| 査読 | 査読あり |
| 標題 | DATABASE CREATION AND CLASSIFICATION OF CUBE CONNECTED MODELS |
| 執筆形態 | 共著 |
| 掲載誌名 | Proceedings of 13th Asian Forum on Graphic Science |
| 掲載区分 | 国外 |
| 総ページ数 | 6 |
| 担当区分 | 筆頭著者 |
| 著者・共著者 | Yasushi NIITSU and Ami MATSUDA |
| 概要 | Two-dimensional or three-dimensional models with connected cubes (polycube) are often used for graphic recognition problems. For example, in the evaluation of brain function, a men-tal-rotation problem in which a rotated polycube is used for the recognizing the shape of a model. In the cube-connection model(poly-cube), the types increase rapidly as the number of connected cubes increases. However, there are few studies on its number and properties. In this research, we con-structed a database of polycubes in which 5 to 10 cubes are connected. As a result, it was found that there are more than 2.5 million types of cube-connection models with 11 cubes. All cube-connection models(poly-cubes) were categorized by symmetry, center of gravity, etc. By using this database, the problems using the cube-connection model(poly-cube) can be automatically generated. |