Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

October 11, 2023


Pages


DOI

Article

The integration of traditional lacquerware and modern art design in the context of artificial intelligence

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Authors

Hang Xu Affiliation:
College of Art Design, Shanghai Jian Qiao University, Shanghai 201306, China.


Abstract

This paper aims to promote the integration of traditional lacquerware and modern art design. AR technology is used for feature calculation of the appearance contour of traditional lacquerware. In this paper, the BRIEF algorithm is selected as the main algorithm for image feature calculation. The Steer BRIEF algorithm is used for key points, and the image feature points are extracted. The classical optical flow method of CMT is applied to track the appearance contour of traditional lacquerware, and the SSD and NCC are combined with filtering the measurement of tracking points. The results show that 90% of the traditional lacquerware can reflect the cultural connotation of the time, 80% of the traditional lacquerware can reflect the characteristics of the time, 80% of the traditional lacquerware has excellent craftsmanship, and the added value reflected by modern art design is much lower than that of the traditional lacquerware.


Keywords

AR technology, Traditional lacquerware, BRIEF algorithm, CMT tracking algorithm, Image feature points, 65D17


Citation

Xu, H. (2023). The integration of traditional lacquerware and modern art design in the context of artificial intelligence. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.00596

Published by: Engineering Journals

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