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<p>This paper is dedicated to exploring the digital design of modern sculpture in the era of new media, addressing the challenges and opportunities encountered by traditional sculpture in digital transformation. Considering the innovation brought by digital technology to artistic creation, the precision and efficiency of sculpture digitization are improved by introducing advanced NURBS method and FCM clustering algorithm through precise analysis and characterization of surface geometric parameters of three-dimensional sculptures. The surface geometric parameters and characteristics of three-dimensional sculptures are analyzed using non-uniform rational B-spline (NURBS) and fuzzy C-mean (FCM) clustering algorithms. The high-order surfaces of the sculptures can be represented effectively by the NURBS method, whereas the FCM clustering algorithms exhibit highly efficient performance in surface partitioning planning. The NURBS-based FCM algorithm can reduce the root-mean-square error of point cloud splicing to 0.0853 mm, reduce the number of iterations to 3, and shorten the algorithm’s running time to 18.46 seconds. The practice of digital sculpture application shows that the method improves work efficiency and reduces production costs. The digital design method proposed in this study provides a new way of producing and creating modern sculpture, which helps develop and preserve traditional sculpture art in the new media era.</p>
</abstract>

This paper is dedicated to exploring the digital design of modern sculpture in the era of new media, addressing the challenges and opportunities encountered by traditional sculpture in digital transformation. Considering the innovation brought by digital technology to artistic creation, the precision and efficiency of sculpture digitization are improved by introducing advanced NURBS method and FCM clustering algorithm through precise analysis and characterization of surface geometric parameters of three-dimensional sculptures. The surface geometric parameters and characteristics of three-dimensional sculptures are analyzed using non-uniform rational B-spline (NURBS) and fuzzy C-mean (FCM) clustering algorithms. The high-order surfaces of the sculptures can be represented effectively by the NURBS method, whereas the FCM clustering algorithms exhibit highly efficient performance in surface partitioning planning. The NURBS-based FCM algorithm can reduce the root-mean-square error of point cloud splicing to 0.0853 mm, reduce the number of iterations to 3, and shorten the algorithm’s running time to 18.46 seconds. The practice of digital sculpture application shows that the method improves work efficiency and reduces production costs. The digital design method proposed in this study provides a new way of producing and creating modern sculpture, which helps develop and preserve traditional sculpture art in the new media era.

Research on Digital Design of Modern Sculpture in New Media Era

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Research on Digital Design of Modern Sculpture in New Media Era"}

This paper is dedicated to exploring the digital design of modern sculpture in the era of new media, addressing the challenges and opportunities encountered by...

Research on Digital Design of Modern Sculpture in New Media Era

Online veröffentlicht: 01. Apr. 2024

Seitenbereich: -

Eingereicht: 05. Feb. 2024

Akzeptiert: 15. Feb. 2024

DOI: https://doi.org/10.2478/amns-2024-0816

Schlüsselwörter
Digital sculpture, NURBS, FCM clustering algorithm, Surface partition planning

© 2024 Xiaozhong Chen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on Digital Design of Modern Sculpture in New Media Era

Online veröffentlicht: 01. Apr. 2024

Seitenbereich: -

Eingereicht: 05. Feb. 2024

Akzeptiert: 15. Feb. 2024

DOI: https://doi.org/10.2478/amns-2024-0816

SchlüsselwörterDigital sculpture, NURBS, FCM clustering algorithm, Surface partition planning

© 2024 Xiaozhong Chen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Digital sculpture, NURBS, FCM clustering algorithm, Surface partition planning