东方瑰宝唐卡《西方阿弥陀佛》高清数字化3D模型数据集

（一）实质性加工
数据清洗与优化：针对 OBJ 格式模型，结合唐卡 “多层场景 + 精细纹样” 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（如莲花座与宝树衔接处），在保留细节的前提下减少 31% 数据量，提升模型加载与渲染速度，适配多场景流畅运行。
纹理映射调整：依据唐卡矿物颜料特性（如石红、金箔的色彩与光泽），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 纹理呈现颜料颗粒细节，大众传播压缩至 2K，平衡视觉效果与运行性能。
（二）创造性劳动
模型精细化处理：使用 MeshLab 软件消除扫描产生的叠面、交叉面，对阿弥陀佛莲花座、宝树纹理等精细结构进行 “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。
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（如莲花花瓣的色彩过渡），避免算法过度平滑导致的质感丢失；结合人工二次校验，排查 AI 未识别的颜料色彩偏差、纹样断层问题，参考实体唐卡

(1) Substantive Processing
Data Cleaning and Optimization: For 3D models in OBJ format, combined with the features of Thangkas featuring "multi-layered scenes + fine patterns", we conduct targeted inspection to remove redundant vertices generated by silk-based texture scanning and overlapping faces of scene elements (e.g., the junction between the lotus pedestal and the precious tree). While preserving all key details, the total data volume is reduced by 31%, which significantly improves model loading and rendering speeds and enables smooth operation across multiple scenarios.
Texture Mapping Adjustment: Based on the properties of mineral pigments used in Thangkas (e.g., the color and luster of mineral red and gold leaf), we precisely calibrate texture coordinates to ensure that pigment textures and gold thread patterns fit perfectly onto the model surface, avoiding line stretching and color misalignment. The texture resolution is adjusted according to specific application scenarios: 4K textures are retained for academic research to showcase the fine details of pigment particles, while compressed to 2K for mass communication, striking a balance between visual effects and operational performance.
(2) Creative Labor
Model Refinement: Using MeshLab software, we eliminate overlapping and intersecting faces generated during scanning, and perform "mesh optimization" on fine structures such as the lotus pedestal of Amitabha Buddha and the patterns of the precious tree, reducing the number of triangular faces while ensuring precise morphological accuracy. For the graceful flowing appearance of auspicious clouds, we optimize the model's outline by adjusting curvature parameters to guarantee smooth and natural lines.
Surface and Texture Optimization: We adopt the AI adaptive Gaussian filtering algorithm to remove scanning noise, with a focus on retaining the gradient details of mineral pigment smudging (e.g., the color transition of lotus petals) to prevent loss of texture quality caused by over-smoothing by the algorithm. Combined with manual secondary verification, we detect pigment color deviations and pattern discontinuities that the AI failed to identify, referencing physical Thangkas as the benchmark.

搜集汇总

背景与挑战

背景概述

该数据集提供了《西方阿弥陀佛》唐卡的高清数字化3D模型，通过数据清洗、纹理映射调整和模型精细化处理，显著优化了模型加载速度与渲染性能，同时保留了唐卡特有的矿物颜料细节和精细纹样。它结合AI算法与人工校验，确保模型在形态精准度和色彩质感上达到高标准，适用于学术研究的高精度分析和大众传播的流畅体验。