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M. Dinakaran, P. Grosche, F. Brinkmann, and S. Weinzierl, "Extraction of Anthropometric Measures from 3D-Meshes for the Individualization of Head-Related Transfer Functions," Paper 9579, (2016 May.). doi: M. Dinakaran, P. Grosche, F. Brinkmann, and S. Weinzierl, "Extraction of Anthropometric Measures from 3D-Meshes for the Individualization of Head-Related Transfer Functions," Paper 9579, (2016 May.). doi:
Abstract: Anthropometric measures are used for individualizing head-related transfer functions (HRTFs) for example, by selecting best match HRTFs from a large library or by manipulating HRTF with respect to anthropometrics. Within this process, an accurate extraction of anthropometric measures is crucial as small changes may already influence the individualization. Anthropometrics can be measured in many different ways, e.g., from pictures or anthropometers. However, these approaches tend to be inaccurate. Therefore, we propose to use Kinect for generating individual 3D head-and-shoulder meshes from which anthropometrics are automatically extracted. This is achieved by identifying and measuring distances between characteristics points on the outline of each mesh and was found to yield accurate and reliable estimates of corresponding features. In our experiment, a large set of anthropometric measures was automatically extracted for 61 subjects and evaluated in terms of a cross-validation against the manually extracted correspondent.

@article{dinakaran2016extraction,
author={dinakaran, manoj and grosche, peter and brinkmann, fabian and weinzierl, stefan},
journal={journal of the audio engineering society},
title={extraction of anthropometric measures from 3d-meshes for the individualization of head-related transfer functions},
year={2016},
volume={},
number={},
pages={},
doi={},
month={may},} @article{dinakaran2016extraction,
author={dinakaran, manoj and grosche, peter and brinkmann, fabian and weinzierl, stefan},
journal={journal of the audio engineering society},
title={extraction of anthropometric measures from 3d-meshes for the individualization of head-related transfer functions},
year={2016},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={anthropometric measures are used for individualizing head-related transfer functions (hrtfs) for example, by selecting best match hrtfs from a large library or by manipulating hrtf with respect to anthropometrics. within this process, an accurate extraction of anthropometric measures is crucial as small changes may already influence the individualization. anthropometrics can be measured in many different ways, e.g., from pictures or anthropometers. however, these approaches tend to be inaccurate. therefore, we propose to use kinect for generating individual 3d head-and-shoulder meshes from which anthropometrics are automatically extracted. this is achieved by identifying and measuring distances between characteristics points on the outline of each mesh and was found to yield accurate and reliable estimates of corresponding features. in our experiment, a large set of anthropometric measures was automatically extracted for 61 subjects and evaluated in terms of a cross-validation against the manually extracted correspondent.},}

TY - paper
TI - Extraction of Anthropometric Measures from 3D-Meshes for the Individualization of Head-Related Transfer Functions
SP - EP -
AU - Dinakaran, Manoj
AU - Grosche, Peter
AU - Brinkmann, Fabian
AU - Weinzierl, Stefan
PY - 2016
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2016 TY - paper
TI - Extraction of Anthropometric Measures from 3D-Meshes for the Individualization of Head-Related Transfer Functions
SP - EP -
AU - Dinakaran, Manoj
AU - Grosche, Peter
AU - Brinkmann, Fabian
AU - Weinzierl, Stefan
PY - 2016
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2016
AB - Anthropometric measures are used for individualizing head-related transfer functions (HRTFs) for example, by selecting best match HRTFs from a large library or by manipulating HRTF with respect to anthropometrics. Within this process, an accurate extraction of anthropometric measures is crucial as small changes may already influence the individualization. Anthropometrics can be measured in many different ways, e.g., from pictures or anthropometers. However, these approaches tend to be inaccurate. Therefore, we propose to use Kinect for generating individual 3D head-and-shoulder meshes from which anthropometrics are automatically extracted. This is achieved by identifying and measuring distances between characteristics points on the outline of each mesh and was found to yield accurate and reliable estimates of corresponding features. In our experiment, a large set of anthropometric measures was automatically extracted for 61 subjects and evaluated in terms of a cross-validation against the manually extracted correspondent.