You are currently logged in as an
Institutional Subscriber.
If you would like to logout,
please click on the button below.
Home / Publications / E-library page
Only AES members and Institutional Journal Subscribers can download
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.)
Publication Date:
2020-08-06
Session subject:
HRTF
DOI:
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member Join the AES. If you need to check your member status, login to the Member Portal.

Pollack, Katharina; Majdak, Piotr; Furtado, Hugo; 2020; 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://aes.org/publications/elibrary-page/?id=21152
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; 2020 Available: https://aes.org/publications/elibrary-page/?id=21152
@inproceedings{Pollack2020evaluation,
title={{Evaluation of Pinna Point Cloud Alignment by Means of Non-Rigid Registration Algorithms}},
author={Pollack, Katharina and Majdak, Piotr and Furtado, Hugo},
year={2020},
month={aug},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 10475; AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020); August 2020},
number={10475},
organization={AES},
}
Notifications