AI-based experts' knowledge visualization of cultural heritage: A case study of Terracotta Warriors
Siyi Li, Yue Jiang, Bowen Jing, Liuyuxin Yang, Yuhe Zhang

TL;DR
This paper applies AI techniques to analyze and visualize the collective attributes of the Terracotta Warriors, enhancing understanding of this cultural heritage through innovative data processing and visualization methods.
Contribution
It constructs a detailed dataset of the Warriors' attributes and employs AI methods like GANs and random forests for analysis and visualization, offering a new holistic presentation scheme.
Findings
Constructed a comprehensive dataset of Terracotta Warriors' attributes.
Applied AI methods for attribute analysis and visualization.
Presented a novel holistic visualization approach for cultural relics.
Abstract
Advancements in 3D modeling,digital display technologies,and the growing availability of digital cultural heritage data have significantly improved the accuracy of heritage depictions and expanded opportunities for analysis.However,while many studies focus on presenting specific cultural heritage figurines,an often overlooked aspect is the visualization of the Terracotta Warriors as a unified entity.This involves concisely representing the distribution of features and their relationships,providing a clear and insightful presentation that engages practitioners, academics,and wider audiences.To tackle the challenges mentioned above,this research seeks to explore the application of AI methods in processing cultural heritage data.It aims to optimize and augment the dataset,analyze the distribution and relationships of various attributes, and interpret the analysis results through…
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