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Atypical facial landmark localisation with stacked hourglass networks: a study on 3D facial modelling for medical diagnosis
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posted on 2020-01-01, 00:00 authored by Gary Storey, Ahmed Bouridane, Richard Jiang, Chang-Tsun LiChang-Tsun LiWhile facial biometrics has been widely used for identification purpose, it has recently been researched as medical biometrics for a range of diseases. In this chapter, we investigate the facial landmark detection for atypical 3D facial modelling in facial palsy cases, while potentially such modelling can assist the medical diagnosis using atypical facial features. In our work, a study of landmarks localisation methods such as stacked hourglass networks is conducted and evaluated to ascertain their accuracy when presented with unseen atypical faces. The evaluation highlights that the state-of-the-art stacked hourglass architecture outperforms other traditional methods.
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Title of book
Deep biometricsChapter number
3Pagination
37 - 49Publisher
SpringerPlace of publication
Cham, SwitzerlandPublisher DOI
ISSN
2522-848XeISSN
2522-8498ISBN-13
9783030325824Language
engPublication classification
B1 Book chapterExtent
13Editor/Contributor(s)
Richard Jiang, Chang Li, Danny Crookes, Weizhi Meng, Christophe RosenbergerUsage metrics
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