TY - GEN
T1 - Curved surface shape generation method based on 'complexity' index
AU - Okano, Akihiro
AU - Matsumoto, Taishi
AU - Kato, Takeo
N1 - Funding Information:
ACKNOWLEDGMENT This study was partly supported by the Japan Society for the Promotion of Science, Grant-in-Aid for Young Scientists (18K18318) and the Research Grant of Keio Leading-edge Laboratory of Science & Technology.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - In recent years, the shape of industrial products has become important. In the conventional study, total absolute curvature was proposed as an index of 'complexity' on curved surface shapes. However, the proposed index has not been applied to the research aiming to support design activities. Therefore, this research proposes a curved surface shape generation method based on the index. The method can generate the shapes having desired value of the index, using Non-Uniform Rational B-spline (NURBS) surface and Particle Swarm optimization (PSO). In addition, to validate the proposed method, this research generated the shapes of coupe-typed automobiles using the method and conducted a sensory evaluation about'complexity'. The coefficient of determination between the sensory evaluation values and the index is 0.95, which indicates that the proposed method can generate the shapes corresponded to human perceived'complexity'.
AB - In recent years, the shape of industrial products has become important. In the conventional study, total absolute curvature was proposed as an index of 'complexity' on curved surface shapes. However, the proposed index has not been applied to the research aiming to support design activities. Therefore, this research proposes a curved surface shape generation method based on the index. The method can generate the shapes having desired value of the index, using Non-Uniform Rational B-spline (NURBS) surface and Particle Swarm optimization (PSO). In addition, to validate the proposed method, this research generated the shapes of coupe-typed automobiles using the method and conducted a sensory evaluation about'complexity'. The coefficient of determination between the sensory evaluation values and the index is 0.95, which indicates that the proposed method can generate the shapes corresponded to human perceived'complexity'.
UR - http://www.scopus.com/inward/record.url?scp=85076725991&partnerID=8YFLogxK
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U2 - 10.1109/SMC.2019.8914066
DO - 10.1109/SMC.2019.8914066
M3 - Conference contribution
AN - SCOPUS:85076725991
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 1110
EP - 1114
BT - 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
Y2 - 6 October 2019 through 9 October 2019
ER -