BUDA.ART：一个基于内容的多模态佛像分析与检索系统
BUDA.ART: A Multimodal Content-Based Analysis and Retrieval System for Buddha Statues
摘要：
我们介绍BUDA.ART，一个旨在帮助艺术史研究人员探索和分析佛像图片档案的系统。该系统结合了不同的CBIR和经典的检索技术，组装二维图片，三维雕像扫描和元数据，这是集中在佛像面部特征。我们从50，000张佛教图片的档案中构建了该系统，识别独特的佛像，提取上下文信息，并提供特定的面部嵌入以首先索引档案。该系统允许移动，现场搜索，并探索档案中雕像的相似之处。此外，我们还提供搜索可视化和雕像的3D分析
英文摘要：
We introduce BUDA.ART, a system designed to assist researchers in Art History, to explore and analyze an archive of pictures of Buddha statues. The system combines different CBIR and classical retrieval techniques to assemble 2D pictures, 3D statue scans and meta-data, that is focused on the Buddha facial characteristics. We build the system from an archive of 50,000 Buddhism pictures, identify unique Buddha statues, extract contextual information, and provide specific facial embedding to first index the archive. The system allows for mobile, on-site search, and to explore similarities of statues in the archive. In addition, we provide search visualization and 3D analysis of the statues
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
