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  • Image analysis methods commonly used in forensic anthropology do not have desirable robustness properties, which can be ensured by robust statistical methods. In this paper, the face localization in images is carried out by detecting symmetric areas in the images. Symmetry is measured between two neighboring rectangular areas in the images using a new robust correlation coefficient, which down-weights regions in the face violating the symmetry. Raw images of faces without usual preliminary transformations are considered. The robust correlation coefficient based on the least weighted squares regression yields very promising results also in the localization of such faces, which are not entirely symmetric. Standard methods of statistical machine learning are applied for comparison. The robust correlation analysis can be applicable to other problems of forensic anthropology.
  • Image analysis methods commonly used in forensic anthropology do not have desirable robustness properties, which can be ensured by robust statistical methods. In this paper, the face localization in images is carried out by detecting symmetric areas in the images. Symmetry is measured between two neighboring rectangular areas in the images using a new robust correlation coefficient, which down-weights regions in the face violating the symmetry. Raw images of faces without usual preliminary transformations are considered. The robust correlation coefficient based on the least weighted squares regression yields very promising results also in the localization of such faces, which are not entirely symmetric. Standard methods of statistical machine learning are applied for comparison. The robust correlation analysis can be applicable to other problems of forensic anthropology. (en)
Title
  • Facial Symmetry in Robust Anthropometrics
  • Facial Symmetry in Robust Anthropometrics (en)
skos:prefLabel
  • Facial Symmetry in Robust Anthropometrics
  • Facial Symmetry in Robust Anthropometrics (en)
skos:notation
  • RIV/67985807:_____/12:00356963!RIV13-AV0-67985807
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M06014), Z(AV0Z10300504)
http://linked.open...iv/cisloPeriodika
  • 3
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 136010
http://linked.open...ai/riv/idVysledku
  • RIV/67985807:_____/12:00356963
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • forensic science; anthropology; robust image analysis; correlation analysis; multivariate data; classification (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [2CC1F2F2C5C7]
http://linked.open...i/riv/nazevZdroje
  • Journal of Forensic Sciences
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 57
http://linked.open...iv/tvurceVysledku
  • Kalina, Jan
http://linked.open...ain/vavai/riv/wos
  • 000307011500001
http://linked.open...n/vavai/riv/zamer
issn
  • 0022-1198
number of pages
http://bibframe.org/vocab/doi
  • 10.1111/j.1556-4029.2011.02000.x
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