Reconstructing head models from photographs for individualized 3D-audio processing

Dellepiane, M; Pietroni, N; Tsingos, N; Asselot, M; Scopigno, R

Reconstructing head models from photographs for individualized 3D-audio processing

Dellepiane, M Pietroni, N

Tsingos, N Asselot, M Scopigno, R

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Publisher:: WILEY
Publication Type:: Conference Proceeding
Citation:: Computer Graphics Forum, 2008, 27, (7), pp. 1719-1727
Issue Date:: 2008

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Field	Value	Language
dc.contributor.author	Dellepiane, M
dc.contributor.author	Pietroni, N https://orcid.org/0000-0002-8271-2102
dc.contributor.author	Tsingos, N
dc.contributor.author	Asselot, M
dc.contributor.author	Scopigno, R
dc.date	2008-10-08
dc.date.accessioned	2023-03-17T06:35:22Z
dc.date.available	2023-03-17T06:35:22Z
dc.date.issued	2008
dc.identifier.citation	Computer Graphics Forum, 2008, 27, (7), pp. 1719-1727
dc.identifier.issn	0167-7055
dc.identifier.issn	1467-8659
dc.identifier.uri	http://hdl.handle.net/10453/167511
dc.description.abstract	Visual fidelity and interactivity are the main goals in Computer Graphics research, but recently also audio is assuming an important role. Binaural rendering can provide extremely pleasing and realistic three-dimensional sound, but to achieve best results it's necessary either to measure or to estimate individual Head Related Transfer Function (HRTF). This function is strictly related to the peculiar features of ears and face of the listener. Recent sound scattering simulation techniques can calculate HRTF starting from an accurate 3D model of a human head. Hence, the use of binaural rendering on large scale (i.e. video games, entertainment) could depend on the possibility to produce a sufficiently accurate 3D model of a human head, starting from the smallest possible input. In this paper we present a completely automatic system, which produces a 3D model of a head starting from simple input data (five photos and some key-points indicated by user). The geometry is generated by extracting information from images and accordingly deforming a 3D dummy to reproduce user head features. The system proves to be fast, automatic, robust and reliable: geometric validation and preliminary assessments show that it can be accurate enough for HRTF calculation. © 2008 The Eurographics Association and Blackwell Publishing Ltd.
dc.language	en
dc.publisher	WILEY
dc.relation.ispartof	Computer Graphics Forum
dc.relation.ispartof	16th Pacific Conference on Computer Graphics and Applications (Pacific Graphics 2008)
dc.relation.isbasedon	10.1111/j.1467-8659.2008.01316.x
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0801 Artificial Intelligence and Image Processing
dc.subject.classification	Software Engineering
dc.title	Reconstructing head models from photographs for individualized 3D-audio processing
dc.type	Conference Proceeding
utslib.citation.volume	27
utslib.location.activity	Blackwell Publishing Ltd Oxford, UK
utslib.for	0801 Artificial Intelligence and Image Processing
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2023-03-17T06:35:20Z
pubs.finish-date	2008-10-10
pubs.issue	7
pubs.publication-status	Published
pubs.start-date	2008-10-08
pubs.volume	27
utslib.citation.issue	7

Abstract:

Visual fidelity and interactivity are the main goals in Computer Graphics research, but recently also audio is assuming an important role. Binaural rendering can provide extremely pleasing and realistic three-dimensional sound, but to achieve best results it's necessary either to measure or to estimate individual Head Related Transfer Function (HRTF). This function is strictly related to the peculiar features of ears and face of the listener. Recent sound scattering simulation techniques can calculate HRTF starting from an accurate 3D model of a human head. Hence, the use of binaural rendering on large scale (i.e. video games, entertainment) could depend on the possibility to produce a sufficiently accurate 3D model of a human head, starting from the smallest possible input. In this paper we present a completely automatic system, which produces a 3D model of a head starting from simple input data (five photos and some key-points indicated by user). The geometry is generated by extracting information from images and accordingly deforming a 3D dummy to reproduce user head features. The system proves to be fast, automatic, robust and reliable: geometric validation and preliminary assessments show that it can be accurate enough for HRTF calculation. © 2008 The Eurographics Association and Blackwell Publishing Ltd.

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http://hdl.handle.net/10453/167511