2011 Fiscal Year Final Research Report
Using Depth Cues for Enhancing Data Visualization
| Project/Area Number |
20300033
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (B)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Media informatics/Database
|
|---|
| Research Institution | The University of Tokyo |
|---|
Principal Investigator |
TAKAHASHI Shigeo 東京大学, 大学院・新領域創成科学研究科, 准教授 (40292619)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
FUJISHIRO Issei 慶應義塾大学, 理工学部, 教授 (00181347)
|
|---|
| Co-Investigator(Renkei-kenkyūsha) |
OKADA Masato 東京大学, 大学院・新領域創成科学研究科, 教授 (90233345)
|
|---|
| Project Period (FY) |
2008 – 2011
|
| Keywords | 可視化 / 奥行き手がかり / 奥行き知覚 / 構図 / 注視点計測 / 注視誘導 / 非透視投影 |
|---|
| Research Abstract |
In this project, we successfully constructed mathematical models for describing the influence of perspective depth cues on our visual attention to the given visualization images. The obtained results reveal that perspective images can be still be visually consistent even when the associated distortion of the depth cues stays within in some tolerance. We can further present an algorithm for intentionally directing visual attention from viewers by introducing excessive distortion in the layout of the depth cues in the visualization images. Our new findings will serve as the basis for generating high-quality visualization images that take into account the properties inherent in our human visual system.
|
Research Products
(21 results)
