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Face Extraction from Image with Weak Cascade Classifier

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Modern Trends and Techniques in Computer Science

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 285))

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Abstract

The aim of this paper is to propose an artificial vision-based face detection approach, which could be primarily used in robotics. Three main problems arise from this expectation. The first one is the computation time of the whole process. The second one is the quality of the input information due to a camera with low resolution. The third one is the robustness of the involved techniques regarding the implementation. The paper discusses all three problems in the first part and introduces the Haar Cascade theory. The second part of the paper proposes a new noise reduction approach to improve detection result mostly in eyes and mouth area. Next part of the paper shows experimental results and finds the best threshold parameter to minimize overlapping areas. The last part explains advantages of the proposed technique.

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Acknowledgments

The research described here has been financially supported by University of Ostrava grant SGS23/PřF/2013. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the sponsors.

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Authors and Affiliations

  1. Department of Informatics and Computers, University of Ostrava, 30 dubna 22, 70103, Ostrava, Czech Republic

    Václav Žáček, Jaroslav Žáček & Eva Volná

Authors
  1. Václav Žáček
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  2. Jaroslav Žáček
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  3. Eva Volná
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Corresponding author

Correspondence to Václav Žáček .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Roman Senkerik

  3. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zuzana Kominkova Oplatkova

  4. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Petr Silhavy

  5. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zdenka Prokopova

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Žáček, V., Žáček, J., Volná, E. (2014). Face Extraction from Image with Weak Cascade Classifier. In: Silhavy, R., Senkerik, R., Oplatkova, Z., Silhavy, P., Prokopova, Z. (eds) Modern Trends and Techniques in Computer Science. Advances in Intelligent Systems and Computing, vol 285. Springer, Cham. https://doi.org/10.1007/978-3-319-06740-7_42

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  • DOI: https://doi.org/10.1007/978-3-319-06740-7_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06739-1

  • Online ISBN: 978-3-319-06740-7

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