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Automated Facial Wrinkles Annotator

  • Moi Hoon YapEmail author
  • Jhan Alarifi
  • Choon-Ching Ng
  • Nazre Batool
  • Kevin Walker
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11132)

Abstract

This paper presents an automated facial wrinkles annotator for coarse wrinkles, fine wrinkles and wrinkle depth map extraction. First we extended Hybrid Hessian Filter by introducing a multi-scale filter to isolate the coarse wrinkles from fine wrinkles. Then we generate a wrinkle probabilistic map. When evaluated on 20 high resolution full face images (10 from our in-house dataset and 10 from FERET dataset), we achieved good accuracy when the result of coarse wrinkles was validated with manual annotation. Furthermore, we visually illustrate the ability of the annotator in detecting fine wrinkles. This paper advances the field by automate the localisation of the fine wrinkles, which might not be possible to annotate manually. Our automated facial wrinkles annotator will be beneficial to large-scale data annotation and cosmetic applications.

Keywords

Wrinkles annotator Hessian filter Wrinkles depth 

Notes

Acknowledgment

This work was supported by the Royal Society Industry Fellowship (IF160006). The authors would like to thanks Phillips et al. [11] for the FERET dataset.

References

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Manchester Metropolitan UniversityManchesterUK
  2. 2.Panasonic R&D Center SingaporeSingaporeSingapore
  3. 3.Scania CV ABSödertäljeSweden
  4. 4.Image Metrics Ltd.ManchesterUK

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