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Comparison of facial image datasets

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In computer vision, facial images have been used extensively to develop facial recognition systems, face detection, and many other projects that use facial images. This article compares various facial image datasets.


Database Subjects Samples per subject Total images Expressions Poses 3D Color Institution License
Bosphorus[1] 105 31-54 4652 34: action units and 6 expressions, labeled; 24 facial landmarks labeled 13 pitch, yaw, and cross rotations Yes; structured light acquisition Yes Bogazici University, Turkey case-by-case, non-commercial, privacy protections[2]
IMPA-FACE3D[3] 38 14 532 neutral face, 6 expressions (joy, sadness, surprise, anger, disgust, fear), and another 5 facial expressions n/a Yes; structured light acquisition Yes IMPA & IME/USP, Brazil ?
York-3DFace[4] 350 15 5250 neutral face, 5 expressions: anger, happiness, sadness, eyes closed, eye-brows raised Uncontrol led up and down Yes ? University of York, United Kingdom ?
ND2006[5] 888 1-63 13450 5: happiness, sadness, surprise, disgust, other n/a Yes ? University of Notre Dame, United States ?
FRGC v.2 466 1-22 4007 6: anger, happiness, sadness, surprise, disgust, puffy n/a Yes ? ?
BU-3DFE 100 25 2500 9: anger, happiness, sadness, surprise, disgust, fear (4 levels) n/a Yes ? ?
York 350 15 5250 5: anger, happiness, sadness, eyes closed, eye-brows raised Uncontrol led up and down Yes ? ?
CASIA 123 15 1845 5: Anger, smile, laugh, surprise, closed eyes n/a Yes ? ?
GavabDB 61 9 549 Smile, frontal accentuated laugh, frontal random gesture Left, right, up, down Yes ? publications must reference; available for immediate download
3DRMA 100 20+ 9971 Mostly neutral, some unconstrained; neutral are labeled, unconstrained not further labeled head turning from left to right, head nodding, raised/lowered head turning left to right Yes Yes ?
PUT 120 6 720 n/a? Slight left/right and up/down No ? case-by-case, non-commercial, publications must reference; available for download after email correspondence[6]

The above table was collected from the paper entitled, "Bosphorus Database for 3D Face Analysis." "

References

  1. ^ Savran et al.(2008) A. Savran, N. Alyüz, H. Dibeklioğlu, O. Celiktutan, B. Gökberk, B. Sankur, and L. Akarun. Bosphorus database for 3D face analysis. Biometrics and Identity Management, pp 47–56.
  2. ^ Bosphorus - How to obtain
  3. ^ Mena-Chalco et al.(2008) J.P. Mena-Chalco, R.M. Cesar-Jr, and L. Velho. Banco de dados de faces 3D: IMPA-FACE3D. Technical report, National Institute for Pure and Applied Mathematics - IMPA - VISGRAF Laboratory, Rio de Janeiro, RJ, Brazil. TR01.
  4. ^ Heseltine et al.(2008) T. Heseltine, N. Pears, and J. Austin. Three-dimensional face recognition using combinations of surface feature map subspace components. Image and Vision Computing. v. 26, n. 3, pp 382–396.
  5. ^ Faltemier et al.(2007) T. Faltemier, K. Bowyer, and P. Flynn. Using a multi-instance enrollment representation to improve 3D face recognition. pp 1–6.
  6. ^ PUT license page
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