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학술대회 Efficient Analytical Data Processing and Visualization Methods for Supporting Scientific Connoisseurship on Oil Paintings
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저자
최윤석, 김재우, 정순철, 전형주, 김진서
발행일
202210
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.2373-2376
DOI
https://dx.doi.org/10.1109/ICTC55196.2022.9952845
협약과제
22IH1200, 근현대 미술품들의 디지털 데이터 확보 및 과학 기반 미술품 신뢰도 분석 지원 시스템 개발, 김진서
초록
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 제안 키워드
Data Management, Data processing, Material analysis, Visualization method, analysis data, analysis techniques, measurement data, software tool