Learning from Partially Occluded Faces

Fares Al-Qunaieer, Mohamed Alkanhal

2016

Abstract

Although face recognition methods in controlled environments have achieved high accuracy results, there are still problems in real-life situations. Some of the challenges include changes in face expressions, pose, lighting conditions or presence of occlusion. There were several efforts for tackling the occlusion problem, mainly by learning discriminating features from non-occluded faces for occluded faces recognition. In this paper, we propose the reversed process, to learn from the occluded faces for the purpose of non-occluded faces recognition. This process has several useful applications, such as in suspects identification and person re-identification. Correlation filters are constructed from training images (occluded faces) images of each person, which are used later for the classification of input images (non-occluded faces). In addition, the use of skin masks with the correlation filters is investigated.

References

  1. Deng, Y., Li, D., Xie, X., Lam, K.-M., and Dai, Q. (2009). Partially occluded face completion and recognition. In 16th IEEE International Conference on Image Processing (ICIP).
  2. Jones, M. and Rehg, J. (1999). Statistical color models with application to skin detection. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
  3. Kumar, B., Savvides, M., and Xie, C. (2006). Correlation pattern recognition for face recognition. Proceedings of the IEEE.
  4. Kumar, B. V. K. V., Mahalanobis, A., and Carlson, D. W. (1994). Optimal trade-off synthetic discriminant function filters for arbitrary devices. Opt. Lett., 19(19):1556-1558.
  5. Li, S. Z. and Jain, A. K. (2011). Handbook of Face Recognition. Springer London, 2nd edition.
  6. Liao, S., Jain, A., and Li, S. (2013). Partial face recognition: Alignment-free approach. IEEE Transactions on Pattern Analysis and Machine Intelligence.
  7. Martinez, A. and Benavente, R. (1998). The AR face database. Technical Report CVC Technical Report No.24, Universitat Autònoma de Barcelona.
  8. Martinez, A. M. and Kak, A. (2001). Pca versus lda. IEEE Transactions on Pattern Analysis and Machine Intelligence.
  9. Rama, A., Tarres, F., Goldmann, L., and Sikora, T. (2008). More robust face recognition by considering occlusion information. In 8th IEEE International Conference on Automatic Face Gesture Recognition.
  10. Sharma, M., Prakash, S., and Gupta, P. (2013). An efficient partial occluded face recognition system. Neurocomputing, 116:231-241.
  11. Wright, J., Yang, A., Ganesh, A., Sastry, S., and Ma, Y. (2009). Robust face recognition via sparse representation. IEEE Transactions on Pattern Analysis and Machine Intelligence.
  12. Zhang, W., Shan, S., Chen, X., and Gao, W. (2007). Local gabor binary patterns based on kullback-leibler divergence for partially occluded face recognition. Signal Processing Letters, IEEE.
  13. Zhou, Z., Wagner, A., Mobahi, H., Wright, J., and Ma, Y. (2009). Face recognition with contiguous occlusion using markov random fields. In IEEE 12th International Conference on Computer Vision.
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Paper Citation


in Harvard Style

Al-Qunaieer F. and Alkanhal M. (2016). Learning from Partially Occluded Faces . In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-173-1, pages 534-539. DOI: 10.5220/0005665605340539


in Bibtex Style

@conference{icpram16,
author={Fares Al-Qunaieer and Mohamed Alkanhal},
title={Learning from Partially Occluded Faces},
booktitle={Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2016},
pages={534-539},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005665605340539},
isbn={978-989-758-173-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Learning from Partially Occluded Faces
SN - 978-989-758-173-1
AU - Al-Qunaieer F.
AU - Alkanhal M.
PY - 2016
SP - 534
EP - 539
DO - 10.5220/0005665605340539