A Comparative Study and Analysis of Computer Vision Technology and 3D Scanning Technology in the Identification of Yao Ethnic Silver Ornaments_Vol. 3 No. 3 (JBDC 2025)_Journal of Big Data and Computing (ISSN: 2959-0590)

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A Comparative Study and Analysis of Computer Vision Technology and 3D Scanning Technology in the Identification of Yao Ethnic Silver Ornaments

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DOI: https://doi.org/10.62517/jbdc.202501313

Author(s)

Xinchen Cao, Sisi Lin, Wei Dai*

Affiliation(s)

Guilin Tourism University, Guilin, Guangxi, China *Corresponding Author

Abstract

As intangible cultural heritage, the silver ornaments of the Yao ethnic group carry unique cultural and artistic values. The intricate patterns and details of Yao silver ornaments pose significant challenges to digital protection technologies. In this paper, we compare the performance differences between traditional computer vision techniques (Canny edge detection, scale-invariant feature transform (SIFT) feature extraction) and 3D scanning technologies (time-of-flight (ToF), 3D point cloud data processing (3DPCDP)) in recognizing the characteristics of Yao silver ornaments. The study results show that computer vision techniques have high computational efficiency in simple edge detection and feature point matching, but their capabilities are limited when it comes to capturing complex textures and 3D structures. On the other hand, 3D scanning technology significantly improves the accuracy of identifying fine structural features by modeling depth data, but it has the drawbacks of high computational costs and lack of real-time performance. The research indicates that the combined application of these two technologies can achieve a balance between efficiency and precision. When combined with deep learning optimization algorithms, it can provide a more comprehensive solution for the digital protection and inheritance of Yao silver ornaments.

Keywords

Computer Vision Technology; 3D Scanning Technology; Feature Recognition

References

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