FACE AND FACIAL FEATURE DETECTION EVALUATION - Performance Evaluation of Public Domain Haar Detectors for Face and Facial Feature Detection

M. Castrillón-Santana, O. Déniz-Suárez, L. Antón-Canalís, J. Lorenzo-Navarro

2008

Abstract

Fast and reliable face and facial feature detection are required abilities for any Human Computer Interaction approach based on Computer Vision. Since the publication of the Viola-Jones object detection framework and the more recent open source implementation, an increasing number of applications have appeared, particularly in the context of facial processing. In this respect, the OpenCV community shares a collection of public domain classifiers for this scenario. However, as far as we know these classifiers have never been evaluated and/or compared. In this paper we analyze the individual performance of all those public classifiers getting the best performance for each target. These results are valid to define a baseline for future approaches. Additionally we propose a simple hierarchical combination of those classifiers to increase the facial feature detection rate while reducing the face false detection rate.

References

  1. Bediz, Y. and Akar, G. B. (2005). View point tracking for 3d display systems. In 3th European Signal Processing Conference, EUSIPCO-2005.
  2. Bradley, D. (2003). Profile face detection. http://www.davidbradley.info/publications/bradleyiurac-03.swf. Last accesed 5/11/2007.
  3. Carnegie Mellon University (1999). CMU/VACS image database: Frontal face images. http://vasc.ri.cmu.edu/idb/html/face/frontal images/ index.html. Last accesed 5/11/2007.
  4. Castrill ón Santana, M., Déniz Suárez, O., Hernández Tejera, M., and Guerra Artal, C. (2007). ENCARA2: Real-time detection of multiple faces at different resolutions in video streams. Journal of Visual Communication and Image Representation, pages 130-140.
  5. Intel (2006). Intel Open Source Computer Vision Library, v1.0. http://sourceforge.net/projects/opencvlibrary/.
  6. Jesorsky, O., Kirchberg, K. J., and Frischholz, R. W. (2001). Robust face detection using the hausdorff distance. Lecture Notes in Computer Science. Procs. of the Third International Conference on Audio- and VideoBased Person Authentication, 2091:90-95.
  7. Kruppa, H., Castrill ón Santana, M., and Schiele, B. (2003). Fast and robust face finding via local context. In Joint IEEE Internacional Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS), pages 157-164.
  8. Li, S. Z., Zhu, L., Zhang, Z., Blake, A., Zhang, H., and Shum, H. (2002). Statistical learning of multi-view face detection. In European Conference Computer Vision, pages 67-81.
  9. Liang, L., Liu, X., Pi, X., Zhao, Y., and Nefian, A. V. (2002). Speaker independent audio-visual continuous speech recognition. In International Conference on Multimedia and Expo, pages 25-28.
  10. Lienhart, R., Kuranov, A., and Pisarevsky, V. (2003a). Empirical analysis of detection cascades of boosted classifiers for rapid object detection. In DAGM'03, pages 297-304, Magdeburg, Germany.
  11. Lienhart, R., Liang, L., and Kuranov, A. (2003b). A detector tree of boosted classifiers for real-time object detection and tracking. In IEEE ICME2003, pages 277-80.
  12. Lienhart, R. and Maydt, J. (2002). An extended set of haarlike features for rapid object detection. In IEEE ICIP 2002, volume 1, pages 900-903.
  13. Pentland, A. (2000). Looking at people: Sensing for ubiquitous and wearable computing. IEEE Trans. on Pattern Analysis and Machine Intelligence, pages 107-119.
  14. Reimondo, A. (2007). Haar cascades repository. http://alereimondo.no-ip.org/OpenCV/34.
  15. Rowley, H. A., Baluja, S., and Kanade, T. (1998). Neural network-based face detection. IEEE Trans. on Pattern Analysis and Machine Intelligence, 20(1):23-38.
  16. Schneiderman, H. and Kanade, T. (2000). A statistical method for 3d object detection applied to faces and cars. In IEEE Conference on Computer Vision and Pattern Recognition, pages 1746-1759.
  17. Sung, K.-K. and Poggio, T. (1998). Example-based learning for view-based human face detection. IEEE Trans. on Pattern Analysis and Machine Intelligence, 20(1):39- 51.
  18. Urtho (2006). Eye detector. http://face.urtho.net/. Last accesed 5/9/2007.
  19. Viola, P. and Jones, M. J. (2004). Robust real-time face detection. International Journal of Computer Vision, 57(2):151-173.
  20. Wilson, P. I. and Fernandez, J. (2006). Facial feature detection using haar classifiers. Journal of Computing Sciences in Colleges, 21:127-133.
  21. Wimmer, M. (2004). Eyefinder. http://www9.cs.tum.edu/ people/wimmerm/se/project.eyefinder/. Last accesed 5/11/2007.
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Paper Citation


in Harvard Style

Castrillón-Santana M., Déniz-Suárez O., Antón-Canalís L. and Lorenzo-Navarro J. (2008). FACE AND FACIAL FEATURE DETECTION EVALUATION - Performance Evaluation of Public Domain Haar Detectors for Face and Facial Feature Detection . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 167-172. DOI: 10.5220/0001073101670172


in Bibtex Style

@conference{visapp08,
author={M. Castrillón-Santana and O. Déniz-Suárez and L. Antón-Canalís and J. Lorenzo-Navarro},
title={FACE AND FACIAL FEATURE DETECTION EVALUATION - Performance Evaluation of Public Domain Haar Detectors for Face and Facial Feature Detection},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={167-172},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001073101670172},
isbn={978-989-8111-21-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - FACE AND FACIAL FEATURE DETECTION EVALUATION - Performance Evaluation of Public Domain Haar Detectors for Face and Facial Feature Detection
SN - 978-989-8111-21-0
AU - Castrillón-Santana M.
AU - Déniz-Suárez O.
AU - Antón-Canalís L.
AU - Lorenzo-Navarro J.
PY - 2008
SP - 167
EP - 172
DO - 10.5220/0001073101670172