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Fast Distance Vector Field Extraction for Facial Feature Detection

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Computer Vision and Graphics (ICCVG 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6374))

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Abstract

This work is related to the method of facial feature detection based on distance vector fields (DVFs), recently proposed by Asteriadis et al. We briefly present the concept and describe improvements that we introduced to the original solution. The main advantages of our approach are the reduced computational complexity of the DVF extraction algorithm as well as the enhanced precision of the resultant vector field.

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References

  1. Phillips, P.J., Scruggs, W.T., O’Toole, A.J., Flynn, P.J., Bowyer, K.W., Schott, C.L., Sharpe, M.: FRVT 2006 and ICE 2006 Large-Scale Results. NISTIR 7408 National Institute of Standards and Technology, Gaithersburg (2007)

    Google Scholar 

  2. Viola, P., Jones, M.J.: Robust Real-Time Face Detection. Int. J. Comp. Vision 57(2), 137–154 (2004)

    Article  Google Scholar 

  3. Smiatacz, M., Malina, W.: Active Shape Models in Practice. In: Kurzyński, M., Puchala, E., Woźniak, M., Żolnierek, A. (eds.) Computer Recognition Systems. Advances in Soft Computing, vol. 30, pp. 451–459. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  4. Asteriadis, S., Nikolaidis, N., Pitas, I.: Facial Feature Detection Using Distance Vector Fields. Patt. Rec. 42, 1388–1398 (2009)

    Article  MATH  Google Scholar 

  5. Danielsson, P.E.: Euclidean Distance Mapping. Computer Graphics and Image Processing 14(3), 227–248 (1980)

    Article  Google Scholar 

  6. Canny, J.: A Computational Approach to Edge Detection. IEEE Trans. PAMI 8(6), 679–698 (1986)

    Google Scholar 

  7. Smiatacz, M.: Practical Evaluation of the Basic Concepts for Face Localization. In: Computer Recognition Systems 2. Advances in Soft Computing, vol. 45, pp. 52–59. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  8. Otsu, N.: A Threshold Selection Method from Gray-Level Histograms. IEEE Trans. Systems, Man, and Cybernetics 9(1), 62–66 (1979)

    Article  MathSciNet  Google Scholar 

  9. Breu, H., Gil, J., Kirkpatrick, D., Werman, M.: Linear Time Euclidean Distance Transform Algorithms. IEEE Trans. PAMI 17(5), 529–533 (1995)

    Google Scholar 

  10. Fabbri, R., Da, F., Costa, L., Torelli, J.C., Bruno, O.M.: 2D Euclidean Distance Transform Algorithms: A Comparative Survey. ACM Comput. Surv. 40(1), 1–44 (2008)

    Article  Google Scholar 

  11. Phillips, P.J., Moon, H., Rizvi, S.A., Rauss, P.J.: The FERET Evaluation Methodology for Face Recognition Algorithms. IEEE Trans. PAMI 22(10), 1090–1104 (2000)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Narutowicza 11/12, 80-233, Gdańsk, Poland

    Wojciech Czarnecki, Szymon Gburek & Maciej Smiatacz

Authors
  1. Wojciech Czarnecki
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  2. Szymon Gburek
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  3. Maciej Smiatacz
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Editor information

Editors and Affiliations

  1. Polish-Japanese Institute of Information Technology, 86 Koszykowa St, 02-008, Warsaw, Poland

    Leonard Bolc

  2. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Faculty of Applied Informatics and Mathematics, Department of Informatics, Warsaw University of Life Sciences, Nowoursynowska 159, 02-776, Warsaw, Poland

    Leszek J. Chmielewski

  4. Polish-Japanese Institute of Information Technology, 86 Koszykowa St, 02-008 Warsaw, konradw@pjwstk.edu.pl, The Silesian University of Technology, Institute of Computer Science, Akademicka 16, 44-100 Gliwice, Polan

    Konrad Wojciechowski

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© 2010 Springer-Verlag Berlin Heidelberg

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Czarnecki, W., Gburek, S., Smiatacz, M. (2010). Fast Distance Vector Field Extraction for Facial Feature Detection. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2010. Lecture Notes in Computer Science, vol 6374. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15910-7_34

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  • DOI: https://doi.org/10.1007/978-3-642-15910-7_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15909-1

  • Online ISBN: 978-3-642-15910-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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