Tool: BezierPPM 3.0 (2024)

Subtitle: Parametric pinna model based on Bezier curves
DOI: 10.60887/vxa6zmkdpcn4k17u Copy to Clipboard
Cite as: Perfler, F., Pausch, F., Pollack, K., Holighaus, N., and Majdak, P. (2024). "BezierPPM 3.0", The SONICOM Ecosystem: Tool #5. URL: https://ecosystem.sonicom.eu/tools/5. Copy Citation to Clipboard

The File

  • File Name: PPM.blend
  • Download Link: PPM.blend Copy to Clipboard
  • File Size: 5268722 bytes = 5145.24 kbytes

    Metadata

    Creators:

    • Perfler, Felix ORCID: 0009-0004-8738-8462 , Acoustics Research Institute ROR: 04jd9ff79
    • Pausch, Florian ORCID: 0000-0003-2728-3170 , Acoustics Research Institute ROR: 04jd9ff79
    • Pollack, Katharina ORCID: 0000-0003-0078-0820 , Acoustics Research Institute ROR: 04jd9ff79
    • Holighaus, Nicki ORCID: 0000-0003-3837-2865 , Acoustics Research Institute ROR: 04jd9ff79
    • Majdak, Piotr ORCID: 0000-0003-1511-6164 , Acoustics Research Institute ROR: 04jd9ff79

    Publishers:

    • The SONICOM Ecosystem of the Austrian Academy of Sciences ROR: 03anc3s24

    Rightsholders:

    • Acoustics Research Institute ROR: 04jd9ff79

    Keywords:

    • BezierPPM
    • Parametric Pinna Model

    Relations:

    Other:

    • DOI (assigned): 10.60887/vxa6zmkdpcn4k17u
    • Uploaded by: Felix Perfler
    • Date (created): 2025-06-29 22:05:55 (GMT)
    • Date (updated): 2025-08-08 15:07:02 (GMT)
    • Production Year: 2024
    • Resource Type: Model
    • Rights: EUPL-1.2: European Union Public Licence version 1.2
    • Subject Areas: Life Science , Other SONICOM Ecosystem
    • General Description: • It focuses on the frontal pinna part and has applications in acoustics and medicine.
      • It was evaluated on actual and synthetic human ears, yielding errors below 1.5 mm.
      • It can be applied in machine-learning algorithms.

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    Uploaded by: Felix Perfler
    Created: 2025-06-29 22:05:55
    Updated: 2025-08-08 15:07:02