Facial Behaviometrics: the Case of Facial Deformation in Spontenaous Smile/Laughter

Stefanos Zafeiriou, Maja Pantic

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

6 Citations (Scopus)

Abstract

In this paper we explore the use of dense facial deformation in spontaneous smile/laughter as a biometric signature. The facial deformation is calculated between a neutral image (as neutral we define the least expressive image of the smile/laughter episode) and the apex of spontaneous smile/laughter (as apex we define the frame of the maximum facial change/deformation) and its complex representation is regarded. Subsequently, supervised and unsupervised complex dimensionality reduction techniques, namely the complex Principal Component Analysis (PCA) and the complex Linear Discriminant Analysis (LDA), are applied at the complex vector fields for feature extraction. We demonstrate the efficacy of facial deformation as a mean for person verification in a database of spontaneous smiles/laughters.
Original languageUndefined
Title of host publicationIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR-W 2011)
Place of PublicationUSA
PublisherIEEE Computer Society
Pages13-19
Number of pages7
ISBN (Print)978-1-4577-0529-8
DOIs
Publication statusPublished - Jun 2011

Publication series

Name
PublisherIEEE Computer Society

Keywords

  • METIS-285027
  • IR-79433
  • Face Recognition
  • Databases
  • Humans
  • EWI-21325
  • Principal component analysis
  • Speech
  • Training
  • EC Grant Agreement nr.: ERC/203143
  • HMI-MI: MULTIMODAL INTERACTIONS
  • Vectors

Cite this

Zafeiriou, S., & Pantic, M. (2011). Facial Behaviometrics: the Case of Facial Deformation in Spontenaous Smile/Laughter. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR-W 2011) (pp. 13-19). USA: IEEE Computer Society. https://doi.org/10.1109/CVPRW.2011.5981832
Zafeiriou, Stefanos ; Pantic, Maja. / Facial Behaviometrics: the Case of Facial Deformation in Spontenaous Smile/Laughter. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR-W 2011). USA : IEEE Computer Society, 2011. pp. 13-19
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title = "Facial Behaviometrics: the Case of Facial Deformation in Spontenaous Smile/Laughter",
abstract = "In this paper we explore the use of dense facial deformation in spontaneous smile/laughter as a biometric signature. The facial deformation is calculated between a neutral image (as neutral we define the least expressive image of the smile/laughter episode) and the apex of spontaneous smile/laughter (as apex we define the frame of the maximum facial change/deformation) and its complex representation is regarded. Subsequently, supervised and unsupervised complex dimensionality reduction techniques, namely the complex Principal Component Analysis (PCA) and the complex Linear Discriminant Analysis (LDA), are applied at the complex vector fields for feature extraction. We demonstrate the efficacy of facial deformation as a mean for person verification in a database of spontaneous smiles/laughters.",
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doi = "10.1109/CVPRW.2011.5981832",
language = "Undefined",
isbn = "978-1-4577-0529-8",
publisher = "IEEE Computer Society",
pages = "13--19",
booktitle = "IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR-W 2011)",
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Zafeiriou, S & Pantic, M 2011, Facial Behaviometrics: the Case of Facial Deformation in Spontenaous Smile/Laughter. in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR-W 2011). IEEE Computer Society, USA, pp. 13-19. https://doi.org/10.1109/CVPRW.2011.5981832

Facial Behaviometrics: the Case of Facial Deformation in Spontenaous Smile/Laughter. / Zafeiriou, Stefanos; Pantic, Maja.

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR-W 2011). USA : IEEE Computer Society, 2011. p. 13-19.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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N2 - In this paper we explore the use of dense facial deformation in spontaneous smile/laughter as a biometric signature. The facial deformation is calculated between a neutral image (as neutral we define the least expressive image of the smile/laughter episode) and the apex of spontaneous smile/laughter (as apex we define the frame of the maximum facial change/deformation) and its complex representation is regarded. Subsequently, supervised and unsupervised complex dimensionality reduction techniques, namely the complex Principal Component Analysis (PCA) and the complex Linear Discriminant Analysis (LDA), are applied at the complex vector fields for feature extraction. We demonstrate the efficacy of facial deformation as a mean for person verification in a database of spontaneous smiles/laughters.

AB - In this paper we explore the use of dense facial deformation in spontaneous smile/laughter as a biometric signature. The facial deformation is calculated between a neutral image (as neutral we define the least expressive image of the smile/laughter episode) and the apex of spontaneous smile/laughter (as apex we define the frame of the maximum facial change/deformation) and its complex representation is regarded. Subsequently, supervised and unsupervised complex dimensionality reduction techniques, namely the complex Principal Component Analysis (PCA) and the complex Linear Discriminant Analysis (LDA), are applied at the complex vector fields for feature extraction. We demonstrate the efficacy of facial deformation as a mean for person verification in a database of spontaneous smiles/laughters.

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KW - EC Grant Agreement nr.: ERC/203143

KW - HMI-MI: MULTIMODAL INTERACTIONS

KW - Vectors

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Zafeiriou S, Pantic M. Facial Behaviometrics: the Case of Facial Deformation in Spontenaous Smile/Laughter. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR-W 2011). USA: IEEE Computer Society. 2011. p. 13-19 https://doi.org/10.1109/CVPRW.2011.5981832