Detail publikace

Detection of facial key points

KANICH, O. GOLDMANN, T. DRAHANSKÝ, M.

Originální název

Detection of facial key points

Typ

zpráva odborná

Jazyk

angličtina

Originální abstrakt

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.

Autoři

KANICH, O.; GOLDMANN, T.; DRAHANSKÝ, M.

Vydáno

30. 12. 2019

Místo

Brno

Strany od

1

Strany do

12

Strany počet

12

URL

https://www.fit.vut.cz/research/publication/12160/

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/"
}