Supplementary data to the paper: Toward a Novel Set of Pinna Anthropometric Features for Individualizing Head-Related Transfer Functions

Supplementary research data to the paper:

Davide Fantini, Stavros Ntalampiras, Giorgio Presti, and Federico Avanzini. Toward a novel set of pinna anthropometric features for individualizinghead-related transfer functions. In Proceedings of the 21th Sound and Music Computing Conference, Porto, Portugal, July 2024.

The repository includes the research data generated in the abovementioned paper. In particular, the repository includes:

README.md: instructions for the data

pinna_images.mat: pinna depth images extracted from the 3D head meshes of the HUTUBS dataset

landmarks.mat: coordinates of the landmarks manually annotated on pinna depth images

anthropometry.mat: anthropometric parameters automatically extracted from manually annotated landmarks

anthropometry_documentation.pdf: documentation of the pinna anthropometric parameters

poster.pdf: poster presented at the SMC conference 2024

The data are provided in the Matlab file format MAT. Nevertheless, the MAT files can be read with other programming languages, such as Python (scipy.io.loadmat).

A GitHub repository to automatically extract the pinna landmarks and features as described in the paper is available here.