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Feature Based Face Detection Algorithm for Digital Still Images

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Image Processing and Communications Challenges 3

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 102))

Summary

This article presents a feature based face detection method on a digital still images. Face detection is an indispensable stage in face recognition process, but may also be used as a standalone process in some applications for example in digital photo cameras. Such devices have limited computing power and memory resources, so there is a need for simple algorithm. Presented method is based on a colour and shape filters and is resistant to scene illumination and digital noise and requires no complex nor memory expensive operations.

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© 2011 Springer-Verlag Berlin Heidelberg

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Orczyk, T., Porwik, P. (2011). Feature Based Face Detection Algorithm for Digital Still Images. In: ChoraÅ›, R.S. (eds) Image Processing and Communications Challenges 3. Advances in Intelligent and Soft Computing, vol 102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23154-4_7

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  • DOI: https://doi.org/10.1007/978-3-642-23154-4_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23153-7

  • Online ISBN: 978-3-642-23154-4

  • eBook Packages: EngineeringEngineering (R0)

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