Publications

  1. Ferrara M., Franco  A., Maio D., "A multi-classifier approach to face image segmentation for travel documents", Expert Systems With Applications, Vol. 39(9), 8452–8466, 2012  http://www.sciencedirect.com/science/article/pii/S0957417412002011
  2. Rabil B. S., Sabourin R., and Granger E., “Watermarking Stack of Grayscale Face Images as Dynamic Optimization Problem”, International Conference on Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry, August 30 - September 3, 2011, New York/USA
  3. Rabil, B.S., Sabourin, R. and Granger, É., Watermarking Impact on Offline Signature Verification in Intelligent Bio-Watermarking, (SSCI) CIBIM - 2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management, Paris, France, April 11-15, 2011
  4. Senhua Yu, "Exploration of Sense of Self and Humoral Immunity for Artificial Immune Systems: Algorithms and Applications", PhD thesis, University of Memphis, 2011
  5. Milborrow S., Morkel J., Nicolls F.: "The MUCT Landmarked Face Database", Pattern Recognition Association of South Africa, 2010 http://www.milbo.org/muct
  6. Nilsson, M.; Gertsovich, I.; Bartunek, J.S.; , "Mouth open or closed decision for frontal face images with given eye locations, "Biometrics: Theory Applications and Systems (BTAS), 2010 Fourth IEEE International Conference on , vol., no., pp.1-6, 27-29 Sept. 2010 doi: 10.1109/BTAS.2010.5634522 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5634522&isnumber=5634461
  7. A. P. James, S. Dimitrijev, Inter-image outliers and their application to image classification, Pattern Recognition,Vol 43, Issue 12, 2010. http://dx.doi.org/10.1016/j.patcog.2010.07.005
  8. Brandon M. Smith, Shengqi Zhu, Li Zhang: Face Image Retrieval by Shape Manipulation, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), June, 2011. http://pages.cs.wisc.edu/~lizhang/projects/finding-faces/
  9. Kasiński A., Schmidt A.: The architecture and performance of the face and eyes detection system based on the Haar cascade classifiers. Pattern Analysis & Applications, 2009.  
    OnlineFirst -
    http://www.springerlink.com/content/w20q487n31q76560 
  10. Schmidt A., Kasiński A.: Szybki i wiarygodny system automatycznego rozpoznawania twarzy opisanych deformowalnymi modelami kształtu. Prace Naukowe Politechniki Warszawskiej, Seria: Elektronika, 166(2): 81-90, 2008
  11. Kasiński A., Florek A., Schmidt A.: The PUT face database. Image Processing & Communications, vol. 13(3-4), 59-64, 2008
  12. Kasiński A., Schmidt A.: The Architecture of the Face and Eyes Detection System Based on Cascade Classifiers, Computer Recognition Systems 2, Advances in Soft Computing, vol. 45, Springer, 2007, pp. 124-131.
    http://www.springerlink.com/content/v08647trj328k635/ 
  13. Schmidt A., Kasiński A.: The Performance of the Haar Cascade Classifiers Applied to the Face and Eyes Detection, Computer Recognition Systems 2, “Advances in Soft Computing”, vol. 45, Springer, 2007, pp. 816-823.
    http://www.springerlink.com/content/wgw7040363p03724/
  14. Schmidt A., Kasiński A.: The Performance of Two Deformable Shape Models in the Context of the Face Recognition, Lecture Notes in Computer Science, vol 5337 Springer, 2009, pp. 400-409
    http://www.springerlink.com/content/35n41437q300u52r/
  15. Schmidt A.: The Comparison of Normal Bayes and SVM Classifiers in the Context of Face Shape Recognition, Computer Recognition Systems 3, “Advances in Soft Computing”, vol. 57, Springer, 2009, pp. 95-102.
    http://www.springerlink.com/content/721v23700h444161/
  16. M.Król, A.Florek, Comparision of Statistical Classifiers as Applied to the Face recognition System Based on Active Shape Models, Proceedings of the 4th International Conference on Computer Recognition Systems CORES’05, Advances in Soft Computing, Springer-Verlag Berlin Heidelberg, 2005, pp. 791-797.
  17. A.Florek, M.Król, Classifier Selection for Face Recognition Algorithm Based on Active Shape Model, Proceedings of the Third International Conference on Computer Vision Theory and Applications, vol. 2, Funchal-Madeira, Portugal, January 22-25, 2008, pp. 276-281.
  18. A.Florek, M.Król, Classifier Sensitivity for Boundary Case Testing Set in the Face Recognition Algorithm Based on the Active Shape Model, , Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, vol. 2, Lisboa, Portugal, Februery5-8, 2009, pp 281-287.