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Recently, there have been advances towards providing personalised binaural audio by means of numerical cal-culations based on a 3D head mesh. Nevertheless, 3D head meshes obtained by non-contact methods such as photogrammetric reconstruction have difficulties in accurately representing the complex biological structure of the pinna. The problems manifest in noisy meshes with holes, confounding the quality of the calculations. These problems can be tackled by applying a template mesh that is deformed to the personalised but noisy target mesh. In this contribution, we review two state-of-the-art non-rigid registration algorithms applied to the deformation of two high-resolution, high-accuracy pinna point clouds. We evaluate the algorithms by discussing their geometric errors, duration of the alignment task, and their robustness to spatial down-sampling.
Author (s): Pollack, Katharina; Majdak, Piotr; Furtado, Hugo
Affiliation:
Acoustics Research Institute, Austrian Academy of Sciences, Vienna, Austria; Dreamwaves GmbH, Vienna, Austria
(See document for exact affiliation information.)
AES Convention: 150
Paper Number:10475
Publication Date:
2021-05-06
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Session subject:
HRTF
Permalink: https://aes2.org/publications/elibrary-page/?id=21068
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Pollack, Katharina; Majdak, Piotr; Furtado, Hugo; 2021; Evaluation of Pinna Point Cloud Alignment by Means of Non-Rigid Registration Algorithms [PDF]; Acoustics Research Institute, Austrian Academy of Sciences, Vienna, Austria; Dreamwaves GmbH, Vienna, Austria; Paper 10475; Available from: https://aes2.org/publications/elibrary-page/?id=21068
Pollack, Katharina; Majdak, Piotr; Furtado, Hugo; Evaluation of Pinna Point Cloud Alignment by Means of Non-Rigid Registration Algorithms [PDF]; Acoustics Research Institute, Austrian Academy of Sciences, Vienna, Austria; Dreamwaves GmbH, Vienna, Austria; Paper 10475; 2021 Available: https://aes2.org/publications/elibrary-page/?id=21068