Publication Details

Detection of facial key points

KANICH, O.; GOLDMANN, T.; DRAHANSKÝ, M. Detection of facial key points. Brno: 2019. p. 1-12.
Czech title
Detekce význačných bodů v obličeji
Type
report
Language
English
Authors
Kanich Ondřej, Ing., Ph.D. (DITS)
Goldmann Tomáš, Ing., Ph.D. (DITS)
Drahanský Martin, prof. Ing., Ph.D.
Abstract

This report describes algorithm for detection of 98 facial key points using convolution neural nets (CNN). The neural nets use novel design based on state of the art design for similar tasks. WFLW (Wider Facial Landmarks in-the-wild) database which contains 10000 face images in atypical poses (illumination, makeup, expression, occlusion, etc.) is used for training and testing.

Published
2019
Pages
1–12
Place
Brno
BibTeX 
@techreport{BUT162095,
  author="Ondřej {Kanich} and Tomáš {Goldmann} and Martin {Drahanský}",
  title="Detection of facial key points",
  year="2019",
  address="Brno",
  pages="1--12",
  url="https://www.fit.vut.cz/research/publication/12160/"
}
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