Result Details
Detection of facial key points
KANICH, O.; GOLDMANN, T.; DRAHANSKÝ, M. Detection of facial key points. Brno: 2019. p. 1-12.
Type
report
Language
English
Authors
Kanich Ondřej, Ing., Ph.D., DITS (FIT)
Goldmann Tomáš, Ing., Ph.D., DITS (FIT)
Drahanský Martin, prof. Ing., Ph.D., DITS (FIT)
Goldmann Tomáš, Ing., Ph.D., DITS (FIT)
Drahanský Martin, prof. Ing., Ph.D., DITS (FIT)
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
@misc{BUT162095,
author="Ondřej {Kanich} and Tomáš {Goldmann} and Martin {Drahanský}",
title="Detection of facial key points",
year="2019",
pages="1--12",
address="Brno",
url="https://www.fit.vut.cz/research/publication/12160/"
}
Files
Projects
Tools and methods for video and image processing to improve effectivity of rescue and security services operations, MV, Bezpečnostní výzkum České republiky 2015-2020, VI20172020068, start: 2017-01-01, end: 2020-12-31, completed
Research groups
Security Technology Research and Development (RG STRaDe)
Departments