东方瑰宝唐卡《北方不空成就佛》高清数字化3D模型数据集
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（一）实质性加工 1.数据清洗与优化：针对 OBJ 格式模型，结合唐卡 “造像主体 + 繁复场景” 特征，定向排查并删除绢本纹理扫描产生的冗余顶点、场景元素重叠面（如祥云与宝座衔接处），在保留细节的前提下减少 32% 数据量，提升模型加载与渲染速度，适配多场景流畅运行需求。 2.纹理映射调整：依据唐卡矿物颜料特性（如石青、朱砂的色彩饱和度），精确校准纹理坐标，确保颜料纹理、金线纹样贴合模型表面，避免线条拉伸、色彩错位；按应用场景调整分辨率：学术研究保留 4K 高分辨率纹理以呈现颜料颗粒细节，大众传播压缩至 2K 分辨率，平衡视觉效果与运行性能。 （二）创造性劳动 1.模型精细化处理：使用 MeshLab 软件消除扫描产生的叠面、交叉面，对不空成就佛的手印、宝座纹饰等精细结构进行 “网格优化”，在保证形态精准的前提下减少三角面数量；针对祥云的飘逸感，通过调整曲率参数优化模型轮廓，确保线条流畅自然。 2.表面与纹理优化：运用 AI 自适应高斯滤波算法处理扫描噪点，重点保留矿物颜料的晕染渐变细节（如衣纹的色彩过渡），避免算法过度平滑导致的质感丢失。
(I) Substantive Processing 1. Data Cleaning and Optimization: For OBJ-format 3D models, targeted detection and deletion of redundant vertices generated by silk scroll texture scanning and overlapping faces of scene elements (e.g., the connection between auspicious clouds and the throne) are conducted based on the characteristics of Tangka "main statue + complex scene". The data volume is reduced by 32% while retaining all details, improving model loading and rendering speed to meet the smooth operation requirements across multiple scenarios. 2. Texture Mapping Adjustment: Accurately calibrate texture coordinates according to the properties of mineral pigments in Tangka (such as the color saturation of azurite and cinnabar), ensuring that pigment textures and gold thread patterns fit perfectly on the model surface and avoiding line stretching and color misalignment. Adjust the resolution based on application scenarios: retain 4K high-resolution textures for academic research to present fine details of pigment particles, and compress to 2K resolution for mass communication, balancing visual quality and operational performance. (II) Creative Labor 1. Model Refinement: Use MeshLab software to eliminate overlapping and intersecting faces generated by scanning, and perform "mesh optimization" on fine structures such as the mudra of Amoghasiddhi Buddha and the throne ornamentation, reducing the number of triangular faces while ensuring accurate morphological representation. Adjust curvature parameters to optimize the model contour for the graceful, flowing shape of auspicious clouds, ensuring smooth and natural lines. 2. Surface and Texture Optimization: Apply the AI adaptive Gaussian filtering algorithm to remove scanning noise, focusing on retaining the gradient transition details of mineral pigment smearing (such as the color transition of clothing folds), avoiding loss of texture quality caused by excessive algorithmic smoothing.
