Efficient Analytical Data Processing and Visualization Methods for Supporting Scientific Connoisseurship on Oil Paintings

Yoon-Seok Choi, Jae Woo Kim, Soonchul Jung, Hyeong-Ju Jeon, Jin-Seo Kim
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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
支持油画科学鉴赏的高效分析数据处理和可视化方法
绘画作品的科学鉴赏是通过对艺术品进行严格的观察,提出假设并加以验证的过程。最后的结论是由鉴定专家根据使用化学和材料分析仪器获得的测量数据得出的。鉴定专家和科学家最近在化学和材料分析中使用了各种分析技术来进行科学鉴定,以最大限度地提高鉴定过程的准确性。本文提出了一种辅助科学鉴赏的集成软件工具。本研究所开发的软件工具,对于与艺术品认证相关的海量分析数据,具有有效的可视化和高效的数据管理能力
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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