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PRODID:IEEE vTools.Events//EN
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TZID:Europe/Warsaw
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DTSTART:20110327T030000
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DTSTAMP:20120127T224604Z
UID:EEBFC47E-E5B6-11E7-833E-0050568D7F66
DTSTART;TZID=Europe/Warsaw:20110511T120000
DTEND;TZID=Europe/Warsaw:20110511T140000
DESCRIPTION:Automatic recognition of faces in images was considered. This p
 roblem can be divided into to stages: localization and identification. Des
 pite satisfactory accuracy of many existing face localisation algorithms\,
  it is important to perform this operation efficiently\, therefore a tool 
 for fast face localisation with AdaBoost algorithm was presented. The face
  recognition is a difficult problem due to variations of illumination\, fa
 cial expression\, etc. In order to achieve good accuracy\, proper features
  must be selected. A tool for face feature extraction (both holistic and l
 ocalized) was presented.\n\nPoznan\, Wielkopolskie\, Poland
LOCATION:Poznan\, Wielkopolskie\, Poland
ORGANIZER:
SEQUENCE:0
SUMMARY:[Legacy Report] New trends in face recognition
URL;VALUE=URI:https://events.vtools.ieee.org/m/70231
X-ALT-DESC:Description: <br />Automatic recognition of faces in images was 
 considered. This problem can be divided into to stages: localization and i
 dentification. Despite satisfactory accuracy of many existing face localis
 ation algorithms\, it is important to perform this operation efficiently\,
  therefore a tool for fast face localisation with AdaBoost algorithm was p
 resented. The face recognition is a difficult problem due to variations of
  illumination\, facial expression\, etc. In order to achieve good accuracy
 \, proper features must be selected. A tool for face feature extraction (b
 oth holistic and localized) was presented. 
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