Analysis of laser scanning and photogrammetric scanning accuracy on the numerical determination of Head-Related Transfer Functions of a dummy head

被引:0
|
作者
Di Giusto, Fabio [1 ,2 ]
van Ophem, Sjoerd [1 ,2 ]
Desmet, Wim [1 ,2 ]
Deckers, Elke [2 ,3 ]
机构
[1] Katholieke Univ Leuven, Dept Mech Engn, Celestijnenlaan 300 B, B-3001 Heverlee, Belgium
[2] Katholieke Univ Leuven, Flanders Make, B-3001 Heverlee, Belgium
[3] Katholieke Univ Leuven, Dept Mech Engn, Campus Diepenbeek,Wetenschapspk 27, B-3590 Diepenbeek, Belgium
来源
ACTA ACUSTICA | 2023年 / 7卷
基金
比利时弗兰德研究基金会;
关键词
Head-Related Transfer Functions; Photogrammetry; Boundary Element Method; Binaural rendering; Spatial sound localisation; LOCALIZATION; MODEL;
D O I
10.1051/aacus/2023049
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Individual Head-Related Transfer Functions (HRTFs) are necessary for the accurate rendering of virtual scenes. However, their acquisition is challenging given the complex pinna shape. Numerical methods can be leveraged to compute HRTFs on meshes originating from precise scans of a subject. Although photogrammetry can be used for the scanning, its inaccuracy might affect the spatial cues of simulated HRTFs. This paper aims to assess the significance of the photogrammetric error affecting a Neumann KU100 dummy head scan. The geometrical differences between the photogrammetric scan and a laser scan are mainly located at the pinna cavities. The computed photogrammetric HRTFs, compared to measured and simulated data using objective and perceptually inspired metrics, show deviation in high frequency spectral features, stemming from the photogrammetric scanning error. This spectral deviation hinders the modelled elevation perception with photogrammetric HRTFs to levels comparable to renderings with nonindividual data. Extracting the photogrammetric geometry at individual ear cavities and merging it to the laser mesh, an assessment of the influence of the inaccuracy at different pinna structures is conducted. Correlation analysis between acoustic and geometrical metrics computed on the results is used to identify the most relevant geometrical metrics in relation to the HRTFs.
引用
收藏
页数:21
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