Title: A real-time acquisition method of local change features of 3D animation considering product design

Authors: Weijia Chai; Zhiqiang Yue

Addresses: Admission and Employment Office, Jiaozuo Normal College, Jiaozuo 454100, Henan Province, China ' Academy of Fine Arts, Jiaozuo Normal College, Jiaozuo 454100, Henan Province, China

Abstract: In order to improve the poor matching effect of traditional feature acquisition methods, a real-time feature acquisition method of 3D animation local changes considering product design is proposed in this paper. Firstly, the local variation characteristics of the animation are described according to the product design concept. Then, the information transferred in the design of the product is analysed, and the anti-noise ability of the change feature descriptor is fitted by Gaussian difference function. Finally, the expression factor of product appearance is transformed into the extreme point information of the change feature, and the extreme point equation of the local change feature is obtained. The real-time collection of local variation features is realised by considering product design rules. The results show that the matching effect of the proposed method is 200 dimensions higher than that of traditional methods, and the recognition rate is 10-40% higher than that of traditional methods.

Keywords: product design; 3D animation; local variation characteristics; real-time acquisition; data collection; sampling method.

DOI: 10.1504/IJPD.2023.135745

International Journal of Product Development, 2023 Vol.27 No.4, pp.370 - 383

Received: 20 Aug 2021
Accepted: 18 Feb 2022
Published online: 04 Jan 2024 *

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