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A New Representation of Plane Composition in Computer Graphics Software Aided Design

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Application of Intelligent Systems in Multi-modal Information Analytics (MMIA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1233))

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Abstract

Plane composition is one of the basic theories of professional design. Before the development of computer technology, manual drawing was usually adopted as the main method of plane composition design, which was less efficient in the traditional way. The appearance and development of computer graphics provide efficient and convenient design methods for plane composition design. Computer graphics software not only improves the efficiency of plane composition design, but also improves the accuracy of data in the process of plane composition design. However, at present, people’s understanding of the plane composition of computer graphics software aided design is not deep enough, which affects the deep combination of the two. The purpose of this paper is to explore the new manifestation of plane composition in computer graphics software aided design and to promote the further application of computer graphics in the development of plane composition. In this paper, firstly, the definition and relationship between plane constitution and computer graphics software are summarized, and the plane extraction algorithm is used to calculate the design time of plane constitution under computer graphics software. Then, by means of the plane constitution experiment of computer graphics, the data analysis is carried out, and the new expression of plane constitution produced by computer graphics aided design is obtained. The experimental results show that the plane composition has produced many new expressions and changed the plane composition design method.

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Correspondence to Dongmei Zhang .

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Zhang, D. (2021). A New Representation of Plane Composition in Computer Graphics Software Aided Design. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2020. Advances in Intelligent Systems and Computing, vol 1233. Springer, Cham. https://doi.org/10.1007/978-3-030-51431-0_74

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