Abstract
We describe a novel technique called Analytic Boosted Cascade Detector (ABCD) to automatically locate features on the human face. ABCD extends the original Boosted Cascade Detector (BCD) in three ways: (i) a probabilistic model is included to connect the classifier responses with the facial features; (ii) a features location method based on the probabilistic model is formulated; (iii) a selection criterion for face candidates is presented. The new technique melts face detection and facial features location into a unified process. It outperforms Average Positions (AVG) and Boosted Classifiers + best response (BestHit). It also shows great speed superior to the methods based on nonlinear optimization, e.g. AAM and SOS.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Wiskott, L., Fellous, J.M., Kruger, N., von der Malsburg, C.: Face recognition by elastic bunch graph matching. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(7), 775–779 (1997)
Cootes, T.F., Taylor, C.J., Cooper, D.H., Graham, J.: Active shape models - their training and application. Computer Vision and Image Understanding 61(1), 38–59 (1995)
Cootes, T.F., Edwards, G.J., Taylor, C.J.: Active appearance models. In: Burkhardt, H., Neumann, B. (eds.) 5th European Conference on Computer Vision, vol. 2, pp. 484–498. Springer, Berlin (1998)
Felzenszwalb, P.F., Huttenlocher, D.: Pictorial Structures for Object Recognition. International Journal of Computer Vision 61(1) (January 2005)
Felzenszwalb, P.F., Huttenlocher, D.: Efficient Matching of Pictorial Structures. IEEE Conference on Computer Vision and Pattern Recognition, 2000onal Journal of Computer Vision 61(1) (January 2005)
Cristinacce, D., Cootes, T.: A Comparison of Shape Constrained Facial Feature Detectors. In: Proceedings of 6th IEEE International Conference on Automatic Face and Gesture Recognition, Seoul, South Korea, May, pp. 375–380 (2004)
Cristinacce, D.: Automatic Detection of Facial Features in Grey Scale Images.PhD thesis, University of Manchester, Accepted (October 2004)
Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: Computer Vision and Pattern Recognition Conference 2001, Kauai, Hawaii, vol. 1, pp. 511–518 (2001)
Lienhart, R., Maydt, J.: An Extended Set of Haar-like Features for Rapid Object Detection. In: IEEE ICIP 2002, September 2002, vol. 1, pp. 900–903 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, L., Zou, B., Sun, J. (2005). Facial Features Location by Analytic Boosted Cascade Detector. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596981_142
Download citation
DOI: https://doi.org/10.1007/11596981_142
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30819-5
Online ISBN: 978-3-540-31598-8
eBook Packages: Computer ScienceComputer Science (R0)