A three dimensional children head database for acoustical research and development

Harder, Stine; Paulsen, Rasmus Reinhold; Larsen, Martin; Laugesen, Søren

doi:10.1121/1.4800159

Cited by 6 publications

(8 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The result of the registration is that the template mesh is placed exactly on top of the target meshes and it is not possible to visualise the potential discrepancies by overlaying the registration results on the target. Instead, the template mesh was manually annotated with 93 landmarks as defined in [9] (green points in Fig. 4).…”

Section: Resultsmentioning

confidence: 99%

“…For each scan, relevant areas are manually marked to avoid using areas influenced by motion or facial expressions. A set of sparse landmarks are also placed on each sub-scan using the template described in [9]. Using the landmarks, the marked areas are brought into rough alignment.…”

Section: Data and Preprocessingmentioning

confidence: 99%

“…The combination of 3D surface scans and advanced finite element simulations enables the computation of the so-called head related transfer function (HRTF) that enables user-specific hearing device optimisation [8]. We have previously demonstrated a method to acquire accurate full head scans that are well suited for acoustical applications [9]. The data used in this paper is similar to this type of data.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Creating Ultra Dense Point Correspondence Over the Entire Human Head

et al. 2017

Self Cite

View full text Add to dashboard Cite

While the acquisition and analysis of 3D faces has been an active area of research for decades, it is still a complex and demanding task to accurately model the entire head and ears. Having accurate models would for example enable virtual design of hearing devices. In this paper, we describe a complete framework for surface registration of complete human heads where the result is point correspondence with a very high number of points. The method is based on a volumetric and multi-scale non-rigid registration of signed distance fields. The method is evaluated on a set of 30 human heads and the results are convincing. The output can for example be used to compute statistical shape models. The accuracy of predicted anatomical landmarks is on the level of experienced human operators.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Data and Preprocessingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Creating Ultra Dense Point Correspondence Over the Entire Human Head

et al. 2017

Self Cite

View full text Add to dashboard Cite

show abstract

“…A listener-specific 3D head and ear model was generated using the framework in [8]. The 3D model was based on a number of 3D surface scans of the human listener NH167 from the ARI database (http://sofaconventions.org).…”

Section: Methodsmentioning

confidence: 99%

Reliability in Measuring Head Related Transfer Functions of Hearing Aids

Harder

Paulsen

Larsen

et al. 2015

Acta Acustica united with Acustica

View full text Add to dashboard Cite

“…Listener NH167 from the ARI database (http://sofaconventions.org) was scanned. The method was presented in [31] and it consists of both scanning, stitching, and meshing. Here, the method is briefly reviewed.…”

Section: The Surface Modelmentioning

confidence: 99%

A framework for geometry acquisition, 3-D printing, simulation, and measurement of head-related transfer functions with a focus on hearing-assistive devices

Harder

Paulsen

Larsen

et al. 2016

Computer-Aided Design

Self Cite

View full text Add to dashboard Cite

Individual head-related transfer functions (HRTFs) are essential in applications like fitting hearing-assistive devices (HADs) for providing accurate sound localization performance. Individual HRTFs are usually obtained through intricate acoustic measurements. This paper investigates the use of a three-dimensional (3D) head model for acquisition of individual HRTFs. Two aspects were investigated; whether a 3D-printed model can replace measurements on a human listener and whether numerical simulations can replace acoustic measurements. For this purpose, HRTFs were acoustically measured for four human listeners and for a 3D printed head model of one of these listeners. Further, HRTFs were simulated by applying the finite element method to the 3D head model. The monaural spectral features and spectral distortions were very similar between re-measurements and between human and printed measurements, however larger deviations were observed between measurement and simulation. The binaural cues were in agreement among all HRTFs of the same listener, indicating that the 3D model is able to provide localization cues potentially accessible to HAD users. Hence, the pipeline of geometry acquisition, printing, and acoustic measurements or simulations, seems to be a promising step forward towards in-silico design of HADs.

show abstract

A three dimensional children head database for acoustical research and development

Cited by 6 publications

References 17 publications

Creating Ultra Dense Point Correspondence Over the Entire Human Head

Creating Ultra Dense Point Correspondence Over the Entire Human Head

Reliability in Measuring Head Related Transfer Functions of Hearing Aids

A framework for geometry acquisition, 3-D printing, simulation, and measurement of head-related transfer functions with a focus on hearing-assistive devices

Contact Info

Product

Resources

About