Example-based NPR employing texture localization and self-similarity
| Project/Area Number |
24500114
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Research Field |
Media informatics/Database
|
|---|
| Research Institution | Nagoya Institute of Technology |
|---|
Principal Investigator |
NAKAMURA Tsuyoshi 名古屋工業大学, 工学(系)研究科(研究院), 准教授 (90303693)
|
|---|
| Co-Investigator(Renkei-kenkyūsha) |
HE Lifeng 愛知県立大学, 情報科学部, 教授 (80305515)
|
|---|
| Project Period (FY) |
2012-04-01 – 2015-03-31
|
| Project Status |
Completed (Fiscal Year 2014)
|
| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2012: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
|
|---|
| Keywords | グラフィクス / 非写実的画像表現 / オノマトペ / コンピュータビジョン / テクスチャ合成 |
|---|
| Outline of Final Research Achievements |
We have introduced texture localization and self-similarity to example-based non-photorealistic rendering. During three years we have been studying, we achieved some remarkable results. The first one is acceleration of texture synthesis which uses fast graph-cut algorithm. The algorithm can realize high-quality synthesis. The second one is interactive system hiring onomatopoeic voice inputs. The system provides users intuitive and simple operation to realize NPR. These results were presented in some workshops and published in a journal.
|
Report
(4 results)
Research Products
(9 results)
