| Budget Amount *help |
¥2,900,000 (Direct Cost: ¥2,900,000)
Fiscal Year 2004: ¥700,000 (Direct Cost: ¥700,000)
Fiscal Year 2003: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 2002: ¥1,700,000 (Direct Cost: ¥1,700,000)
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| Research Abstract |
A)Research of curves and surfaces
Solid models (we call "figures") and 3D computer graphics models are often made on the basis of 2D characters in games and animation works. Demand of the technique about how to make solid model of human face is increasing, but those modelling patterns as a base of the technique is vague yet.
Then, we took figures, Japanese dolls, and licca dolls as the examples, and the aim of this study was to make the character design assistance system by the examples and to research the relation of face's outline between 3D model and 2D picture. First, we cleared the differences among curves of the dolls' faces and how they were abstracted from human faces. Second, we researched the differences of face's outline between Japanese dolls and ukiyoe, and between figures and 2D characters in some animation works. Third, we made the design assistance system, which outputted seven cross-sectional lines of doll's face reflecting a optional person face's features, by the use o
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f the dolls' features obtained.
B)Research of design support systems
A few researches solving inverse problems that extracted optimum configuration items that were the most important in car design from car's impressions. It is necessary to apply a nonlinear model for treating the problem concerning such a kansei. However, few earlier researches used rough set that could treat non-liner problem. Therefore, in this study, we applied rough set as methods for solving inverse problems. The aim of this study is to clarify the features of non-linear optimum solutions by using rough set and compared those solutions with linear optimum solutions by design of experiments. Concretely, we compared condition parts of decision rules with a high covering index value with main effect with a high value by design of experiments. In addition we considered the feature of both methods, and were able to clarify the features of each. Finally, we developed the system that supported the design by visualizing both optimum solutions. Less
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