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Conference Paper
Efficient Analytical Data Processing and Visualization Methods for Supporting Scientific Connoisseurship on Oil Paintings
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- Authors
- Yoon-Seok Choi, Jae Woo Kim, Soonchul Jung, Hyeong-Ju Jeon, Jin Seo Kim
- Issue Date
- 2022-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.2373-2376
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- Scientific connoisseurship of painting works is a process of making hypotheses and validating them by carrying out rigorous observation on the artwork. The final conclusions are drawn by the authentication experts based on the measurement data obtained by using chemical and material analysis instruments. Authentication experts and scientists have recently employed various analysis techniques used in chemical and material analysis into the scientific connoisseurship to maximize the accuracy of the process. This paper suggests an integrated software tool to assist the scientific connoisseurship. The software tool developed in this research has the capabilities for effective visualization and efficient data management for the huge amount of analysis data related to the authentication of artwork
- KSP Keywords
- Data Management, Data processing, Material analysis, Visualization method, analysis data, analysis techniques, measurement data, software tool