Comparison of facial image datasets

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]
York-3DFace[3]	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[4]	888	1-63	13450	5: happiness, sadness, surprise, disgust, other	n/a	Yes	?	University of Notre Dame, United States	?
CASIA[5]	123	37-38	4624	5: Anger, smile, laugh, surprise, closed eyes	n/a	Yes	?	Institute of Automation chinese Academy of Sciences, China	?
BU-3DFE[6]	100	25	2500	neutral face, and 6 expressions: anger, happiness, sadness, surprise, disgust, fear (4 levels)	n/a	Yes	?	Binghamton University, United States	?
FRAV3D[7]	106	16	1696	netral face, smaile and mouth and eyes open	Left, right, up, down ?	Yes; structured light acquisition	Yes	Rey Juan Carlos University, Spain	?
BJUT-3D-R1[8]	500	4	2000	neutral face, joy, anger and surprise	n/a	Yes	?	Beijing University of Technology, China	?
FRGC v.2[9]	466	1-22	4007	6: anger, happiness, sadness, surprise, disgust, puffy	n/a	Yes	?	National Institute Of Standards and Technology, United States	?
GavabDB[10]	61	9	549	neutral face, smile, frontal accentuated laugh, frontal random gesture	Left, right, up, down	Yes	?	Rey Juan Carlos University, Spain	publications must reference; available for immediate download
3D_RMA[11]	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	Royal Military Academy, Belgium	?
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[12]

The above table was collected from the following works:

• 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, v. 5372, pp 47–56, 2008.

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. ^ 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.
4. ^ 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.
5. ^ Zhong et al.(2007) C. Zhong, Z. Sun, and T. Tan. Robust 3D face recognition using learned visual codebook. In IEEE Conference on Computer Vision and Pattern Recognition, 2007. CVPR, pp 1–6.
6. ^ Yin et al.(2006) L.J. Yin, X.Z. Wei, Y. Sun, J. Wang, and M.J. Rosato. A 3D facial expression database for facial behavior research. In 7th International Conference on Automatic Face and Gesture Recognition (FGR06), pp. 211–216.
7. ^ Conde(2006) C. Conde. Biometría: Reconocimiento facial mediante fusión 2D y 3D. Dykinson SL, Madrid.
8. ^ Beijing University of Technology(2005) Beijing University of Technology. The BJUT-3D large-scale chinese face database. Technical report, Beijing University of Technology. Technical Report of The Multimedia and Intelligent Software Technology Beijing Municipal Key Laborator.
9. ^ Phillips et al.(2005) P.J. Phillips, P.J. Flynn, T. Scruggs, K.W. Bowyer, J. Chang, K. Hoffman, J. Marques, J. Min, and W. Worek. Overview of the face recognition grand challenge. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2005, pp 947–954.
10. ^ Moreno and Sánchez(2004) A.B. Moreno and A. Sánchez. GavabDB: a 3D face database. In Workshop on Biometrics on the Internet, pp. 77–85.
11. ^ Beumier and Acheroy(2001) C. Beumier and M. Acheroy. Face verification from 3D and grey level clues. Pattern Recognition Letters, 22(12):1321–1329.
12. ^ PUT license page

External links

• face-rec.org list of databases