Data underlying the BSc thesis: Application of Photogrammetry to Gaussian Splatting for mesh and texture reconstruction
DOI:10.4121/d8970e29-b0da-406e-ac69-c16df992b322.v1
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DOI: 10.4121/d8970e29-b0da-406e-ac69-c16df992b322
DOI: 10.4121/d8970e29-b0da-406e-ac69-c16df992b322
Datacite citation style:
Kiisa, Ken J. (2024): Data underlying the BSc thesis: Application of Photogrammetry to Gaussian Splatting for mesh and texture reconstruction. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/d8970e29-b0da-406e-ac69-c16df992b322.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Usage statistics
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Licence MIT
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.
History
- 2024-06-25 first online, published, posted
Publisher
4TU.ResearchDataFormat
zip containing Wavefront .obj files with .png textures; .py Blender script; .py python script; .xmp RealityCapture metadata; .txt SIBR-Viewer render path; .txt console output log recordingsReferences
Organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer ScienceDATA
Files (7)
- 3,335 bytesMD5:
3a1fc278d4d30cbed15376affe603c35
Blender-Rendering-Script.py - 93,807 bytesMD5:
b9d760757bb71dc2b5b520d7de3191fa
gs-training-console-output.txt - 2,657,008,310 bytesMD5:
f12a97bebd242f30a1b9eb02f28b5d72
pg-models.zip - 24,239 bytesMD5:
b6b0da7964bd13c5c0145e23020692dc
psnr-and-analysis-logs.txt - 20,306 bytesMD5:
e9bf8dc738786d7e91c3a463c794ee55
PSNR-And-Quantitative-Data-Analysis.py - 263,660 bytesMD5:
68f60fc5af5e1211e95a1b0e693b5d08
RC-metadata.zip - 6,077 bytesMD5:
e481041e3f33d034f516ad91d64fd74f
SIBR-camera-path.zip -
download all files (zip)
2,657,419,734 bytes unzipped