Face-voice authentication based on 3D face models

Girija Chetty, Michael Wagner

Research output: A Conference proceeding or a Chapter in BookConference contribution

3 Citations (Scopus)

Abstract

In this paper we propose fusion of shape and texture information from 3D face models of persons with the acoustic features extracted from spoken utterances, to improve the performance against imposter and replay attacks. Experiments conducted on two multimodal speaking face corpora, VidTIMIT and AVOZES, allowed less than 2 % EERs to be achieved for imposter attacks, and less than 1% for type-1 replay attacks for multimodal feature fusion of acoustic, shape and texture features. For type-2 replay attacks, more difficult type of spoof attacks, less than 7% EER was achieved.

Original languageEnglish
Title of host publicationComputer Vision - ACCV 2006 - 7th Asian Conference on Computer Vision, Proceedings
PublisherSpringer
Pages559-568
Number of pages10
Volume3851
ISBN (Electronic)9783540324331
ISBN (Print)9783540312192
DOIs
Publication statusPublished - 15 Jun 2006
Event7th Asian Conference on Computer Vision, ACCV 2006 - Hyderabad, India
Duration: 13 Jan 200616 Jan 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3851 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th Asian Conference on Computer Vision, ACCV 2006
CountryIndia
CityHyderabad
Period13/01/0616/01/06

Fingerprint

Authentication
Fusion reactions
Textures
Acoustics
Attack
Face
Fusion
Shape Feature
Model
Texture Feature
Experiments
Texture
Person
Voice
Experiment

Cite this

Chetty, G., & Wagner, M. (2006). Face-voice authentication based on 3D face models. In Computer Vision - ACCV 2006 - 7th Asian Conference on Computer Vision, Proceedings (Vol. 3851, pp. 559-568). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3851 LNCS). Springer. https://doi.org/10.1007/11612032_57
Chetty, Girija ; Wagner, Michael. / Face-voice authentication based on 3D face models. Computer Vision - ACCV 2006 - 7th Asian Conference on Computer Vision, Proceedings. Vol. 3851 Springer, 2006. pp. 559-568 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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abstract = "In this paper we propose fusion of shape and texture information from 3D face models of persons with the acoustic features extracted from spoken utterances, to improve the performance against imposter and replay attacks. Experiments conducted on two multimodal speaking face corpora, VidTIMIT and AVOZES, allowed less than 2 {\%} EERs to be achieved for imposter attacks, and less than 1{\%} for type-1 replay attacks for multimodal feature fusion of acoustic, shape and texture features. For type-2 replay attacks, more difficult type of spoof attacks, less than 7{\%} EER was achieved.",
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Chetty, G & Wagner, M 2006, Face-voice authentication based on 3D face models. in Computer Vision - ACCV 2006 - 7th Asian Conference on Computer Vision, Proceedings. vol. 3851, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3851 LNCS, Springer, pp. 559-568, 7th Asian Conference on Computer Vision, ACCV 2006, Hyderabad, India, 13/01/06. https://doi.org/10.1007/11612032_57

Face-voice authentication based on 3D face models. / Chetty, Girija; Wagner, Michael.

Computer Vision - ACCV 2006 - 7th Asian Conference on Computer Vision, Proceedings. Vol. 3851 Springer, 2006. p. 559-568 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3851 LNCS).

Research output: A Conference proceeding or a Chapter in BookConference contribution

TY - GEN

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AU - Chetty, Girija

AU - Wagner, Michael

PY - 2006/6/15

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N2 - In this paper we propose fusion of shape and texture information from 3D face models of persons with the acoustic features extracted from spoken utterances, to improve the performance against imposter and replay attacks. Experiments conducted on two multimodal speaking face corpora, VidTIMIT and AVOZES, allowed less than 2 % EERs to be achieved for imposter attacks, and less than 1% for type-1 replay attacks for multimodal feature fusion of acoustic, shape and texture features. For type-2 replay attacks, more difficult type of spoof attacks, less than 7% EER was achieved.

AB - In this paper we propose fusion of shape and texture information from 3D face models of persons with the acoustic features extracted from spoken utterances, to improve the performance against imposter and replay attacks. Experiments conducted on two multimodal speaking face corpora, VidTIMIT and AVOZES, allowed less than 2 % EERs to be achieved for imposter attacks, and less than 1% for type-1 replay attacks for multimodal feature fusion of acoustic, shape and texture features. For type-2 replay attacks, more difficult type of spoof attacks, less than 7% EER was achieved.

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Chetty G, Wagner M. Face-voice authentication based on 3D face models. In Computer Vision - ACCV 2006 - 7th Asian Conference on Computer Vision, Proceedings. Vol. 3851. Springer. 2006. p. 559-568. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/11612032_57