Metadata
Creators:
- Pausch, Florian
, Acoustics Research Institute
- Perfler, Felix
, Acoustics Research Institute
- Holighaus, Nicki
, Acoustics Research Institute
- Majdak, Piotr
, Acoustics Research Institute
Publishers:
Rightsholders:
Keywords:
- Human adult pinna
- Physically based modeling
- Parametric pinna model
- BezierPPM
- Machine-learning algorithm
- Artificial intelligence (AI)
Relations:
- Mesh2PPM 1.0.0: Test was created with the Tool PyBezierPPM 3.0 (2024).
- Mesh2PPM 1.0.0: Test can be processed by the Tool Mesh2PPM 1.0.0 (2022-2024).
- Mesh2PPM 1.0.0: Test is supplement to the Database Mesh2PPM 1.0.0: Training (2022-2024).
- Mesh2PPM 1.0.0: Test is supplement to the Database Mesh2PPM 1.0.0: Validation (2022-2024).
Other:
- DOI: not assigned yet
- Uploaded by: Florian Pausch
- Date (created): 2025-12-01 15:55:03 (GMT)
- Date (updated): 2025-12-05 14:02:41 (GMT)
- Production Year: 2022-2024
- Resource Type: Dataset (SONICOM Ecosystem)
- Rights: EUPL-1.2: European Union Public Licence version 1.2
- Subject Areas: Life Science , Other SONICOM Ecosystem
- General Description: Parameters of Tool BezierPPM 3.0 to generate synthetic pinna geometries, multi-view grey-scale pinna images and multi-view depth images with Tool PyBezierPPM 3.0. The resulting BezierPPM instances and renderings were used to test Tool Mesh2PPM 1.0.0, an AI-based estimator of pinna parameters from pinna meshes.
- Technical Remarks: Contains BezierPPM parameters as CSV files. Use function export_ppm() in create_data.py, which is part of Tool Mesh2PPM 1.0.0, to generate meshes (STL files) of the corresponding BezierPPM instances, and to render these meshes as multi-view grey-scale images (PNG files) and depth images (OpenEXR files). For rendering, the camera views were either set to nominal (camera_jitter=False) or randomly deviate from nominal (camera_jitter=True).
- Data Source: Computer simulated
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Uploaded by: Florian Pausch
Created: 2025-12-01 15:55:03
Updated: 2025-12-05 14:02:41