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Description
Individualized head-related transfer functions(HRTFs) are an essential tool for accurate spatialaudio reproduction, but traditional measurementprocedures are time-consuming and require specializedlaboratory equipment. Numerical approaches enablethe computation of individualized HRTFs from 3Dmodels of the torso, head, and pinnae. Althoughaccurate 3D models present a challenge in itself,recent advances in smartphone-based 3D scanningtechnologies offer a low-cost and accessible alternativeto professional scanning systems.This paper investigates the applicability of threesmartphone-based 3D scanning methods, namely photogrammetry,LiDAR, and TrueDepth, for HRTF synthesisusing Mesh2HRTF. This contribution focuseson evaluating the methods with respect to ease of useand achievable spatial resolution. Therefore, 3D scansof an artificial head are compared against referencemeasurements based on anthropometric parameters,and the resulting mesh quality is analyzed.The results show that smartphone-based LiDAR isnot suitable due to its limited spatial resolution, whilephotogrammetry and TrueDepth can provide sufficientgeometric detail for HRTF synthesis. Amongthe evaluated methods, TrueDepth offers the bestcompromise between acquisition effort and geometricaccuracy, whereas photogrammetry provides highflexibility and device compatibility.