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  • Detection of human faces plays a basic role in many applications of computer vision such as video surveillance, image retrieval, face recognition etc. This paper presents a general framework for face detection in both color and monochromatic images. Several basic methods of color transformations are introduced and discussed as well as advanced techniques such as boosted cascade of simple features or face symmetry detection. All presented techniques are based on completely different principles and so each method is suitable only for some applications.
  • Detection of human faces plays a basic role in many applications of computer vision such as video surveillance, image retrieval, face recognition etc. This paper presents a general framework for face detection in both color and monochromatic images. Several basic methods of color transformations are introduced and discussed as well as advanced techniques such as boosted cascade of simple features or face symmetry detection. All presented techniques are based on completely different principles and so each method is suitable only for some applications. (en)
Title
  • Face Detection Techniques - Theory and Applications
  • Face Detection Techniques - Theory and Applications (en)
skos:prefLabel
  • Face Detection Techniques - Theory and Applications
  • Face Detection Techniques - Theory and Applications (en)
skos:notation
  • RIV/00216305:26220/12:PU99983!RIV13-MSM-26220___
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  • S
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  • 135999
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  • RIV/00216305:26220/12:PU99983
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  • skin detection, face detection, color transformation, Haar-like features, symmetry features (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [70501EE00585]
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  • Brno University of Technology
http://linked.open...i/riv/mistoVydani
  • Brno, Czech Republic
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  • The Proceedings of the 17th International Conference on Soft Computing
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  • Horák, Karel
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number of pages
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  • Institute of Automation and Computer Science
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  • 978-80-214-4120-0
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  • 26220
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