CLASSIFIERS SENSITIVITY FOR BOUNDARY CASE TESTING SET IN THE FACE RECOGNITION ALGORITHM BASED ON THE ACTIVE SHAPE MODEL

Andrzej Florek, Maciej Król

Abstract

In this paper, experimental results from the face contour classification tests are shown. The presented approach is dedicated to a face recognition algorithm based on the Active Shape Model method. The results were obtained from experiments carried out on the set of 3300 images taken from 100 persons. Automatically fitted contours (as 194 ordered face contour points vector, where the contour consisted of eight components) were classified by Nearest Neighbourhood Classifier and Support Vector Machines classifier, after feature space decomposition, carried out by the Linear Discriminant Analysis method. Feature subspace size reduction and classification sensitivity analysis for boundary case testing set are presented.

References

  1. Cootes, T. and Taylor, C., (2001). Statistical models of appearance for computer vision, Technical report, University of Manchester, Wolfson Image Analysis Unit, Imaging Science and Biomedical Engineering.
  2. Etemad K., Chellappa R. (1997), Discriminant analysis for recognition of human face images, Springer Berlin / Heidelberg.
  3. Ge, X., Yang, J., Zheng, Z., Li, F., (2006). Multi-view based face chin contour extraction, Engineering Applications of Artificial Intelligence, vol.19, pp. 545- 555.
  4. Kass, M., Witkin, A., Terzopoulos, D., (1988). Snakes: Active contour models, International Journal of Computer Vision, 1 (4), pp. 321-331.
  5. Motulsky, H., (1997). Detecting outliers, GraphPad Insight, issue number 14, Winter 1997.
  6. Wan, K.W., Lam. K.M., Ng, K.C., (2005). An accurate active shape model for facial feature extraction, Pattern Recognition Letters, vol. 26 , Issue 15, pp. 2409-2423.
  7. Zhao, M., Li, S. Z., Chen, Ch., Bu, J., (2004). Shape evaluation for weighted active shape models, Proceedings of the Asian Conference on Computer Vision, pp 1074-1079.
  8. Zuo, F. and de With, P. H N., (2004). Fast facial feature extraction using a deformable shape model with Haarwavelet based local texture attributes, Proceedings of ICIP'04, vol. 3, pp. 1425-14
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Paper Citation


in Harvard Style

Florek A. and Król M. (2009). CLASSIFIERS SENSITIVITY FOR BOUNDARY CASE TESTING SET IN THE FACE RECOGNITION ALGORITHM BASED ON THE ACTIVE SHAPE MODEL . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 281-287. DOI: 10.5220/0001772902810287


in Bibtex Style

@conference{visapp09,
author={Andrzej Florek and Maciej Król},
title={CLASSIFIERS SENSITIVITY FOR BOUNDARY CASE TESTING SET IN THE FACE RECOGNITION ALGORITHM BASED ON THE ACTIVE SHAPE MODEL},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={281-287},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001772902810287},
isbn={978-989-8111-69-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)
TI - CLASSIFIERS SENSITIVITY FOR BOUNDARY CASE TESTING SET IN THE FACE RECOGNITION ALGORITHM BASED ON THE ACTIVE SHAPE MODEL
SN - 978-989-8111-69-2
AU - Florek A.
AU - Król M.
PY - 2009
SP - 281
EP - 287
DO - 10.5220/0001772902810287