东方瑰宝唐卡《东方不动如来》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 “平面构图 + 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（如祥云与莲花座衔接处），在保留细节的前提下减少 30% 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 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，对不动如来的衣纹线条、道场细节进行 “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，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 未识别的色彩偏差、纹样断层问题，确保模型纹理还原唐卡真实视觉效果。

(1) Substantial Processing
Data Cleaning and Optimization: For OBJ-format 3D models, targeted screening and removal of redundant vertices generated from silk-texture scanning and overlapping faces of scene elements (e.g., the joint between auspicious clouds and lotus pedestals) are conducted based on the characteristics of thangka's "flat composition + fine patterns". This reduces the data volume by 30% while preserving all details, improving model loading and rendering speeds to enable smooth operation across multiple scenarios.
Texture Mapping Adjustment: Precisely calibrate texture coordinates in accordance with the properties of thangka mineral pigments (e.g., color saturation of azurite and cinnabar), to ensure that pigment textures and gold-thread patterns fit tightly on the model surface and avoid line stretching and color misalignment. Adjust resolution based on application scenarios: retain 4K textures for academic research to present fine details of pigment particles, and compress to 2K for mass communication, balancing visual effects and operational performance.

(2) Creative Labor
Model Refinement: Use MeshLab software to eliminate overlapping and intersecting faces generated during scanning, and perform "mesh optimization" on the garment lines and assembly hall details of Akshobhya Buddha, reducing the number of triangular faces while ensuring accurate morphology. For the elegant, flowing shape of auspicious clouds, optimize the model outline by adjusting curvature parameters to ensure smooth and natural lines.
Surface and Texture Optimization: Apply the AI adaptive Gaussian filtering algorithm to remove scanning noise, with priority given to preserving the gradation details of mineral pigment blending, avoiding texture quality loss caused by over-smoothing from the algorithm. Combine with manual secondary verification to identify and fix color deviations and pattern discontinuities that were not detected by the AI, ensuring that the model texture restores the authentic visual effect of the original thangka.

搜集汇总

背景与挑战

背景概述

该数据集专注于唐卡《东方不动如来》的高清数字化3D模型，通过数据清洗和纹理映射优化，在保留精细纹样和矿物颜料细节的同时，显著提升了模型加载与渲染性能，适配学术研究及大众传播等多场景需求。模型经过网格精细化和AI算法处理，有效消除了扫描噪点并还原了唐卡的真实视觉效果，体现了专业化的数字保存与创造性劳动。