Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

November 11, 2023


Pages


DOI

Article

Combining Adaptive Mathematical Morphology and Visual Reconstruction Theory for Animation Creation

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Authors

Tian Xia Affiliation:
Doctoral Student of Faculty of Informatics, Mahasarakham University, Maha Sarakham, 44150, Thailand.
and Suwich Tirakoat Affiliation:
Department of New Media Faculty of Informatics, Mahasarakham University, Maha Sarakham, 44150, Thailand.


Abstract

This paper first discusses the use of traditional elements in animation creation and analyzes the linear narrative and artistic expression involved in its creation. Secondly, in order to carry out the image design of animation creation, the color adaptive mathematical morphology is used to carry out the image edge calculation, and the ICP algorithm in the visual reconstruction theory is introduced to carry out the point cloud alignment and fusion. Finally, the effectiveness of this paper’s method is evaluated by comparing algorithms and examples. According to the findings, the loss rate of expansion and corrosion details using the color adaptive mathematical morphology operator is 0.05% and 5.69%, respectively. The overall evaluation of the visual reconstruction presentation is 94.93% at grade C or above. This shows that using the method of this paper can accurately realize the image design of animation creation, enhance the audience’s perception of animation with a clearer view, and then promote the prosperity of the animation industry.


Keywords

Animation creation, Mathematical morphology, Visual reconstruction, Adaptive, ICP algorithm, 68T05


Citation

Xia, T. & Tirakoat, S. (2023). Combining adaptive mathematical morphology and visual reconstruction theory for animation creation. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.01076

Published by: Engineering Journals

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