TY - DATA
T1 - Data underlying the BSc thesis: Application of Photogrammetry to Gaussian Splatting for mesh and texture reconstruction
PY - 2024/06/25
AU - Ken J. Kiisa
UR -
DO - 10.4121/d8970e29-b0da-406e-ac69-c16df992b322.v1
KW - python scripts
KW - camera position metadata
KW - 3D models
KW - gaussian splatting
KW - photogrammetry
KW - logs
KW - model extraction
N2 -
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.
ER -