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Hi4D-ADSIP 3-D dynamic facial articulation database

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Hi4D-ADSIP 3-D dynamic facial articulation database. / Matuszewski, Bogdan J.; Quan, Wei; Shark, Lik Kwan et al.
In: Image and Vision Computing, Vol. 30, No. 10, 10.2012, p. 713-727.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Matuszewski, BJ, Quan, W, Shark, LK, McLoughlin, AS, Lightbody, CE, Emsley, HCA & Watkins, CL 2012, 'Hi4D-ADSIP 3-D dynamic facial articulation database', Image and Vision Computing, vol. 30, no. 10, pp. 713-727. https://doi.org/10.1016/j.imavis.2012.02.002

APA

Matuszewski, B. J., Quan, W., Shark, L. K., McLoughlin, A. S., Lightbody, C. E., Emsley, H. C. A., & Watkins, C. L. (2012). Hi4D-ADSIP 3-D dynamic facial articulation database. Image and Vision Computing, 30(10), 713-727. https://doi.org/10.1016/j.imavis.2012.02.002

Vancouver

Matuszewski BJ, Quan W, Shark LK, McLoughlin AS, Lightbody CE, Emsley HCA et al. Hi4D-ADSIP 3-D dynamic facial articulation database. Image and Vision Computing. 2012 Oct;30(10):713-727. Epub 2012 Feb 18. doi: 10.1016/j.imavis.2012.02.002

Author

Matuszewski, Bogdan J. ; Quan, Wei ; Shark, Lik Kwan et al. / Hi4D-ADSIP 3-D dynamic facial articulation database. In: Image and Vision Computing. 2012 ; Vol. 30, No. 10. pp. 713-727.

Bibtex

@article{b34d6c165eae46fa8d3ae29d1ca664ba,
title = "Hi4D-ADSIP 3-D dynamic facial articulation database",
abstract = "The face is an important medium used by humans to communicate, and facial articulation also reflects a person's emotional and awareness states, cognitive activity, personality or wellbeing. With the advances in 3-D imaging technology and ever increasing computing power, automatic analysis of facial articulation using 3-D sequences is becoming viable. This paper describes Hi4D-ADSIP - a comprehensive 3-D dynamic facial articulation database, containing scans with high spatial and temporal resolution. The database is designed not only to facilitate studies on facial expression analysis, but also to aid research into clinical diagnosis of facial dysfunctions. The database currently contains 3360 facial sequences captured from 80 healthy volunteers (control subjects) of various age, gender and ethnicity. The database has been validated using psychophysical experiments used to formally evaluate the accuracy of the recorded expressions. The results of baseline automatic facial expression recognition methods using Eigen- and Fisher-faces are also presented alongside some initial results obtained for clinical cases. This database is believed to be one of the most comprehensive repositories of facial 3-D dynamic articulations to date. The extension of this database is currently under construction aiming at building a comprehensive repository of representative facial dysfunctions exhibited by patients with stroke, Bell's palsy and Parkinson's disease.",
keywords = "Dysfunctions, Expression recognition, Facial, Facial articulation database, Facial expression validation",
author = "Matuszewski, {Bogdan J.} and Wei Quan and Shark, {Lik Kwan} and McLoughlin, {Alison S.} and Lightbody, {Catherine E.} and Emsley, {Hedley C. A.} and Watkins, {Caroline L.}",
year = "2012",
month = oct,
doi = "10.1016/j.imavis.2012.02.002",
language = "English",
volume = "30",
pages = "713--727",
journal = "Image and Vision Computing",
issn = "0262-8856",
publisher = "Elsevier Limited",
number = "10",

}

RIS

TY - JOUR

T1 - Hi4D-ADSIP 3-D dynamic facial articulation database

AU - Matuszewski, Bogdan J.

AU - Quan, Wei

AU - Shark, Lik Kwan

AU - McLoughlin, Alison S.

AU - Lightbody, Catherine E.

AU - Emsley, Hedley C. A.

AU - Watkins, Caroline L.

PY - 2012/10

Y1 - 2012/10

N2 - The face is an important medium used by humans to communicate, and facial articulation also reflects a person's emotional and awareness states, cognitive activity, personality or wellbeing. With the advances in 3-D imaging technology and ever increasing computing power, automatic analysis of facial articulation using 3-D sequences is becoming viable. This paper describes Hi4D-ADSIP - a comprehensive 3-D dynamic facial articulation database, containing scans with high spatial and temporal resolution. The database is designed not only to facilitate studies on facial expression analysis, but also to aid research into clinical diagnosis of facial dysfunctions. The database currently contains 3360 facial sequences captured from 80 healthy volunteers (control subjects) of various age, gender and ethnicity. The database has been validated using psychophysical experiments used to formally evaluate the accuracy of the recorded expressions. The results of baseline automatic facial expression recognition methods using Eigen- and Fisher-faces are also presented alongside some initial results obtained for clinical cases. This database is believed to be one of the most comprehensive repositories of facial 3-D dynamic articulations to date. The extension of this database is currently under construction aiming at building a comprehensive repository of representative facial dysfunctions exhibited by patients with stroke, Bell's palsy and Parkinson's disease.

AB - The face is an important medium used by humans to communicate, and facial articulation also reflects a person's emotional and awareness states, cognitive activity, personality or wellbeing. With the advances in 3-D imaging technology and ever increasing computing power, automatic analysis of facial articulation using 3-D sequences is becoming viable. This paper describes Hi4D-ADSIP - a comprehensive 3-D dynamic facial articulation database, containing scans with high spatial and temporal resolution. The database is designed not only to facilitate studies on facial expression analysis, but also to aid research into clinical diagnosis of facial dysfunctions. The database currently contains 3360 facial sequences captured from 80 healthy volunteers (control subjects) of various age, gender and ethnicity. The database has been validated using psychophysical experiments used to formally evaluate the accuracy of the recorded expressions. The results of baseline automatic facial expression recognition methods using Eigen- and Fisher-faces are also presented alongside some initial results obtained for clinical cases. This database is believed to be one of the most comprehensive repositories of facial 3-D dynamic articulations to date. The extension of this database is currently under construction aiming at building a comprehensive repository of representative facial dysfunctions exhibited by patients with stroke, Bell's palsy and Parkinson's disease.

KW - Dysfunctions

KW - Expression recognition

KW - Facial

KW - Facial articulation database

KW - Facial expression validation

U2 - 10.1016/j.imavis.2012.02.002

DO - 10.1016/j.imavis.2012.02.002

M3 - Journal article

AN - SCOPUS:84866734189

VL - 30

SP - 713

EP - 727

JO - Image and Vision Computing

JF - Image and Vision Computing

SN - 0262-8856

IS - 10

ER -