A RELIABLE HYBRID TECHNIQUE FOR HUMAN FACE DETECTION

Ayesha Hakim, Stephen Marsland, Hans W. Guesgen

Abstract

The progress of computer vision technology has opened new doors for interactive and friendly computer interfaces. Human face detection is an essential step of various human-related computer applications, including face recognition, emotion recognition, lip reading, and several intelligent human computer interfaces. Since it is the basic step in such applications, it must be reliable enough to support further steps. Several approaches to detecting human faces have been proposed so far, but none of them can detect faces in all different conditions such as varying lighting conditions; frontal, profile, tilted and rotated faces; occlusions by glasses, hijab, facial hair; and noise. We propose a more reliable hybrid approach that is able to detect human faces in multiple circumstances. Moreover, a brief, but comprehensive, review of the literature is presented that may be useful to evaluate any face detection system. Our proposed approach gives up to 97% accuracy on 600 images (both simple and complicated), which is the highest accuracy rate reported to date to our knowledge.

References

  1. Anisetti, M., Bellandi, V., Damiani, E., Beverina, F., Arnone, L. & Rat, B. 2006, 'A3fd: Accurate 3d face detection', Proc. of IEEE Int'l. Conf. on Signal-Image Technology and Internet Based Systems.
  2. Asteriadis, S., Nikolaidis, N., Pitas, I. 2009, 'Facial feature detection using distance vector fields', Pattern Recognition,1388-1398.
  3. Garcia, C., Delakis, M. 2004, 'Convolutional face finder: A neural architecture for fast and robust face detection', IEEE Trans on Pattern Analysis and Machine Intelligence, 1408-1423.
  4. Hjelmas, E., Low, B. K. 2001, 'Face Detection: A Survey', Computer Vision and Image Understanding, 236-274.
  5. Hsu, R., Abdel-Mottaleb, M., Jain, A. K. May 2002, 'Face Detection in Colour Images', IEEE Trans. on Pattern Analysis and Machine Intelligence.
  6. Jain, V., Mukherjee, A. 2002, 'The Indian Face Database'.
  7. Lee, T., Park, S., Park, M. 2005, 'A New Facial Features and Face Detection Method for Human-Robot Interaction', Proc. of the 2005 IEEE Int'l. Conf. on Robotics and Automation, 2063-2068.
  8. Lienhart, R., Maydt, J. 2002, 'An Extended Set of Haarlike Features for Rapid Object Detection', IEEE ICIP.
  9. Lin, H., Yen, S., Yeh, J., Lin, M. 2008, 'Face Detection Based on Skin Colour Segmentation and SVM Classification', Second Int'l. Conf. on Secure System Integration and Reliability Improvement, 230-231.
  10. Martinez, A. M., Benavente, R. 1998, The AR Face Database. CVC Technical Report #24.
  11. McDermott, J. 2006, 'Facial Feature Extraction for Face Characterization'.
  12. Messer, K., Matas, J., Kittler, J., Luettin, J., Maitre, G. 1999, 'XM2VTSDB: the extended M2VTS database'.
  13. Pantic, M., Valstar, M. F., Rademaker, R., Maat, L. 2005, 'Web-based Database for Facial Expression Analysis', Proc. IEEE Int'l Conf. Multmedia and Expo.
  14. Peer, P., Solina, F. 1999, 'An Automatic Human Face Detection Method', Proc. of the 4th Computer Vision Winter Workshop (CVWW'99), 122-130.
  15. Singh, S. Kr., Chauhan, D. S., Vatsa, M., Singh, R. 2003, 'A Robust Skin Colour Based Face Detection Algorithm', Tamkang Journal of Science and Engineering, 227-234.
  16. Viola, P., Jones, M. J. 2004, 'Robust real-time object detection', Int'l Journal of Computer Vision, 137-154.
  17. Wang, J. G., Sung, E. 1999, 'Frontal view face detection and facial feature extraction using color and morphological operations', Pattern Recognition, 1053- 1068.
  18. Wang, Y. Yuan, B. 2001, 'A novel approach for human face detection from colour images under complex background', Pattern Recognition, 1983-1992.
  19. Yang, M., Kreigman, J., Ahuja, N. 2002, 'Detecting Faces in Images: A Survey', IEEE Trans. On Pattern Analysis and Machine Intelligence.
Download


Paper Citation


in Harvard Style

Hakim A., Marsland S. and W. Guesgen H. (2010). A RELIABLE HYBRID TECHNIQUE FOR HUMAN FACE DETECTION . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 241-244. DOI: 10.5220/0002817402410244


in Bibtex Style

@conference{visapp10,
author={Ayesha Hakim and Stephen Marsland and Hans W. Guesgen},
title={A RELIABLE HYBRID TECHNIQUE FOR HUMAN FACE DETECTION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={241-244},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002817402410244},
isbn={978-989-674-029-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - A RELIABLE HYBRID TECHNIQUE FOR HUMAN FACE DETECTION
SN - 978-989-674-029-0
AU - Hakim A.
AU - Marsland S.
AU - W. Guesgen H.
PY - 2010
SP - 241
EP - 244
DO - 10.5220/0002817402410244