Data underlying the BSc thesis: Application of Photogrammetry to Gaussian Splatting for mesh and texture reconstruction

Dataset containing 8 items related to the CSE 3000 Research Project Paper titled 'Application of Photogrammetry to Gaussian Splatting for mesh and texture reconstruction':Full list of final generated 3D models from Photogrammetry per model per category, stored as Wavefront '.obj' files with textures.Camera path used in SIBR-based Gaussian Splatting renderer, stored as 'cameras.txt' and 'images.txt' file pair.Camera metadata used in RealityCapture for image alignment, stored as '.xmp' files per input image, both with and without leading zeroes depending on image name format.Logs from PSNR value calculations.Logs from performed significance tests.Logs from Gaussian Splatting scene training.Blender script used for camera placement and rendering.Python script used for calculating PSNR values and performing quantitative analysis.

本数据集包含8项与题为《摄影测量（Photogrammetry）在网格与纹理重建的高斯溅射（Gaussian Splatting）中的应用》的CSE 3000研究项目论文相关的内容，具体如下：1. 各分类下各模型的摄影测量最终生成3D模型全集，以带纹理的Wavefront .obj格式文件存储；2. 基于SIBR的高斯溅射渲染器所用的相机路径，以成对的"cameras.txt"与"images.txt"文件存储；3. 用于RealityCapture中图像对齐的相机元数据，随每张输入图像以.xmp格式文件存储，文件名格式可匹配含或不含前置零的图像命名规则；4. 峰值信噪比（PSNR）值计算日志；5. 已执行的显著性检验日志；6. 高斯溅射场景训练日志；7. 用于相机布设与渲染的Blender脚本；8. 用于计算PSNR值并开展定量分析的Python脚本。