ML Anthology

Automated Facial Wrinkles Annotator

Moi Hoon Yap, Jhan S. Alarifi, Choon-Ching Ng, Nazre Batool, Kevin Walker
ECCVW 2018 pp. 676-680
doi:10.1007/978-3-030-11018-5_56 /eccvw/2018/yap2018eccvw-automated/

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.

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Cite

Text

Yap et al. "Automated Facial Wrinkles Annotator." European Conference on Computer Vision Workshops, 2018. doi:10.1007/978-3-030-11018-5_56

Markdown

[Yap et al. "Automated Facial Wrinkles Annotator." European Conference on Computer Vision Workshops, 2018.](https://mlanthology.org/eccvw/2018/yap2018eccvw-automated/) doi:10.1007/978-3-030-11018-5_56

BibTeX

@inproceedings{yap2018eccvw-automated,
  title     = {{Automated Facial Wrinkles Annotator}},
  author    = {Yap, Moi Hoon and Alarifi, Jhan S. and Ng, Choon-Ching and Batool, Nazre and Walker, Kevin},
  booktitle = {European Conference on Computer Vision Workshops},
  year      = {2018},
  pages     = {676-680},
  doi       = {10.1007/978-3-030-11018-5_56},
  url       = {https://mlanthology.org/eccvw/2018/yap2018eccvw-automated/}
}