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 visualization techniques.The Terracotta Warriors,among China's most significant cultural heritages and renowned for their abundance,exquisite workmanship,and magnitude,are chosen as a case study.The contribution of this paper is primarily twofold.Firstly,we constructed a dataset of Terracotta Warriors from Pit No.1,detailing the attributes significant for identifying different Terracotta Warriors.Secondly,we employ various AI methods,such as generative adversarial network and random forest,to process and analyze these attributes,followed by visualizing the analysis results for an intuitive presentation.This study introduces a novel scheme for presenting information on a collection of cultural relics,offering a practical case for analyzing and visualizing the Terracotta Warriors'attributes as a whole entity,rather than showcasing individual relics'information in isolation.

翻译：随着三维建模、数字显示技术的进步以及数字文化遗产数据的日益丰富，文物展现的准确性显著提升，分析机会也大大增加。然而，尽管众多研究聚焦于呈现具体的文化遗产雕像，但将兵马俑作为统一整体进行可视化这一方面却常被忽视。这涉及简洁地展示各类特征及其分布与关系，从而为从业者、学者及更广泛的受众提供清晰且富有洞见的呈现。为应对上述挑战，本研究旨在探索应用人工智能方法处理文化遗产数据，以优化和扩充数据集，分析不同属性的分布及其关联，并通过可视化技术解读分析结果。研究选取了中国最重要的文化遗产之一——以其数量庞大、工艺精湛和规模宏大而闻名的兵马俑作为案例。本文贡献主要体现在两方面：首先，构建了来自一号坑的兵马俑数据集，详细标注了对于区分不同兵马俑具有重要意义的属性；其次，采用了包括生成对抗网络和随机森林在内的多种人工智能方法对这些属性进行处理与分析，随后对分析结果进行可视化以实现直观呈现。本研究提出了一种新的文物集合信息展示方案，为整体分析和可视化兵马俑属性（而非孤立展示单件文物信息）提供了实践案例。