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3-D HRTF interpolation

version 1.5.0.0 (6.15 KB) by Hannes

Hannes (view profile)

Head-related transfer function (HRTF) interpolation in azimuth, elevation, and distance

5 Downloads

Updated 12 Jan 2015

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Matlab demonstration of an algorithm for interpolating distance-dependent (near-field) head-related transfer functions (HRTFs).
The interpolation is performed using barycentric weights of 4 HRTF measurements forming a tetrahedron that encloses the desired source position.
The main steps of the interpolation algorithm are:
1) Initialisation: organise HRTF measurement positions in tetrahedral mesh via Delaunay triangulation and generate an octree;

2) Source update: find a tetrahedron that encloses the desired source position (via brute-force search, or via adjacency walk with/without octree lookup);

3) Interpolation: calculate barycentric weights for linear interpolation of HRTF measurements at the vertices of the tetrahedron selected in 2)

Reference:
Gamper, H. (2013). "Head-related transfer function interpolation in azimuth, elevation, and distance", Journal of the Acoustical Society of America 134(6), JASA EL547-EL554. Available online: http://link.aip.org/link/?JAS/134/EL547/1

Comments and Ratings (3)

Wen Qin

farhan saari

how to use this coding if i already have point cloud data set.?? for example sphere data set..

Excellent demonstration of the algorithm!

Updates

1.5.0.0

fixed call to Delaunay to support earlier Matlab versions ( < 2009b)

1.4.0.0

removed tilde placeholders in function output calls for backward compatibility with Matlab versions earlier than 2009b

1.3.0.0

updated reference and link to JASA article

1.2.0.0

Tags, comments

1.1.0.0

Added comments and references.

MATLAB Release Compatibility
Created with R2013a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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