| Budget Amount *help |
¥85,540,000 (Direct Cost: ¥65,800,000、Indirect Cost: ¥19,740,000)
Fiscal Year 2019: ¥16,120,000 (Direct Cost: ¥12,400,000、Indirect Cost: ¥3,720,000)
Fiscal Year 2018: ¥16,250,000 (Direct Cost: ¥12,500,000、Indirect Cost: ¥3,750,000)
Fiscal Year 2017: ¥16,250,000 (Direct Cost: ¥12,500,000、Indirect Cost: ¥3,750,000)
Fiscal Year 2016: ¥17,160,000 (Direct Cost: ¥13,200,000、Indirect Cost: ¥3,960,000)
Fiscal Year 2015: ¥19,760,000 (Direct Cost: ¥15,200,000、Indirect Cost: ¥4,560,000)
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| Outline of Final Research Achievements |
This research explored for the texture recognition mechanism by mining the texture of the real world. We aimed to construct the texture engineering that makes use of the texture research in the real world and clarify the texture recognition mechanism by focusing on the construction of the texture database and the onomatopoeia representing the texture. In order to construct the texture database we collected data that links the relationship between the material/surface state and the texture sensation of humans. We collected more than 200 kinds of materials such as wood, metal, paper, synthetic resin, and rubber, and by applying surface treatment such as polishing, we collected combination data of various materials and textures. 2,300 records were accumulated by the end of the research period.
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