Paper
28 July 2022 Research on authenticity identification of Chinese painting based on computer technology
Li Wang
Author Affiliations +
Proceedings Volume 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022); 123032D (2022) https://doi.org/10.1117/12.2642733
Event: International Conference on Cloud Computing, Internet of Things, and Computer Applications, 2022, Luoyang, China
Abstract
Identifying the authenticity of Chinese paintings is an important part of the field of Chinese painting and calligraphy. The identification of Chinese dialect can determine the value of a work. In the past identification of Chinese paintings, the most traditional method is generally used, which is to rely on the experience of experts for identification. This traditional identification method is too subjective and has low accuracy, and there is no objective and credible scientific evidence for the identification results. In recent years, with the development of computer vision technology and machine learning technology, the use of computer technology to identify Chinese paintings has become the focus of academic research. Computer technology can scientifically quantify the empirical appraisal of experts, and identify Chinese paintings through physical or chemical means. This paper makes a detailed analysis of the computer vision technology for authentic Chinese dialect identification, and proposes the computer technology that should be used for different Chinese paintings.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Li Wang "Research on authenticity identification of Chinese painting based on computer technology", Proc. SPIE 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022), 123032D (28 July 2022); https://doi.org/10.1117/12.2642733
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KEYWORDS
Computer vision technology

Feature extraction

Solid modeling

Diffraction

Error analysis

Image processing

Machine vision

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