Performance Evaluation Method for Detection Algorithms of Face Region and Facial Components

얼굴영역 및 얼굴요소 검출 알고리즘의 성능평가 방법

  • Received : 2009.05.12
  • Accepted : 2009.08.14
  • Published : 2009.08.31

Abstract

In this paper, we report the progress in the development of performance evaluation method for detection algorithms of face region and facial components. This paper aims to provide a standardized evaluation method for general approach in face recognition application as a potential component in futuristic intelligent robot systems. From an image capture process to the retrieval of face-related information, all the necessary steps are shown with examples.

Keywords

References

  1. P. J. Phillips, A. Martin, C. L. Wilson, and M. Przybocki,An Introduction to Evaluating Biometric Systems, IEEE Computer, pp. 56-63, February 2000. (Special issue on biometrics.)
  2. D.M. Blackburn, M. Bone, P.J. Phillips, Face Recognition Vendor Test 2000, Evaluation Report, February 16, 2001.
  3. P.J. Phillips, P. Grother, R.J. Micheals, D.M. Blackburn, E. Tabassi, M. Bone, Face Recognition Vendor Test 2002, Evaluation Report, March 2003.
  4. P.J. Phillips, W.T. Scruggs, A.J. O'Toole, P.J. Flynn, K.W. Bowyer, C.L. Schott, M. Sharpe, FRVT 2006 and ICE 2006 Large-Scale Results, March 29, 2007, NISTIR 7408, National Institute of Standards and Technology.
  5. P.J. Phillips, P.J. Flynn, T. Scruggs, K.W. Bowyer, W. Worek, Preliminary Face Recognition Grand Challenge Results, Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition, Southampton, UK, pp. 15-24, April 10-12, 2006.
  6. Homepage of MBGC at NIST, http://face.nist.gov/mbgc/, 2009.
  7. P.J. Phillips, H. Moon, S.A. Rizvi, and P.J. Rauss, The FERET Evaluation Methodology for Face-Recognition Algorithms, IEEE Transactions on Pattern Analysis and Machine Intelligence 22(10): 1090-1104, October 2000. https://doi.org/10.1109/34.879790
  8. R. Gross, Face Databases, Handbook of Face Recognition, Springer-Verlag, 2005.
  9. KS A 3011 조도 기준.
  10. ISO 10918-1 JPEG 국제표준.
  11. ISO/IEC-11172 MPEG-1 국제표준.
  12. ISO/IEC-13818 MPEG-2 국제표준.
  13. Homepage of TrackIR, NaturalPoint, http://www.naturalpoint.com/trackir/, 2009.
  14. ANSI/ISEA 107-2004 Level 2, Table 5 3M 적외선 반사형마커 국제표준.
  15. Fitzpatrick TB: Soleil et peau. J Med Esthet , Vol.2, pp. 33-34, 1975.
  16. Conversion between RGB and HSV/HSL, http://en.wikipedia.org/wiki/HSL_and_HSV#Conversion_from_HSL_to_RGB, 2009.
  17. Golden Number in Human Face, http://goldennumber.net/face.htm, 2009.
  18. M. Turk and A. Pentland, Eigenfaces for recognition, Journal of Cognitive Neuroscience 3(1): 71-86, 1991. https://doi.org/10.1162/jocn.1991.3.1.71