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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

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Published on: December 3, 2013

Head-related transfer function interpolation in azimuth, elevation, and distance.

Hannes Gamper¹

¹Department of Media Technology, Aalto University School of Science, FI-00076 Aalto, Finland hannes.gamper@aalto.fi.

The Journal of the Acoustical Society of America

|February 12, 2015

Summary

This study introduces a new framework for interpolating head-related transfer function (HRTF) measurements in 3D. The method accurately reconstructs near-field HRTFs, enabling better virtual sound rendering.

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Area of Science:

Acoustics
Signal Processing
Virtual Reality

Background:

Distance-dependent head-related transfer function (HRTF) databases offer potential for near-field virtual sound rendering.
Existing algorithms and tools are insufficient for utilizing these HRTF databases effectively.

Purpose of the Study:

To propose a novel framework for interpolating HRTF measurements in three dimensions: azimuth, elevation, and distance.
To enable the practical application of distance-dependent HRTF data for enhanced audio rendering.

Main Methods:

Utilized tetrahedral interpolation with barycentric weights for HRTF data.
Generated a tetrahedral mesh via Delaunay triangulation for spatial data organization.
Employed an adjacency walk search for efficient data retrieval within the mesh.

Main Results:

The proposed framework demonstrates robustness with irregularly positioned HRTF measurements.
The interpolation method proved computationally efficient.
Objective evaluation showed good agreement between measured and interpolated near-field HRTFs.

Conclusions:

The developed framework effectively interpolates 3D HRTF measurements.
This facilitates the use of distance-dependent HRTFs for realistic near-field sound rendering.
The approach is suitable for irregularly sampled HRTF data.