Automated Facial Wrinkles Annotator

Moi Hoon Yap, Jhan Alarifi, Choon-Ching Ng, Nazre Batool, Kevin Walker; Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2018, pp. 0-0

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 probablisitic 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. We 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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[bibtex]
@InProceedings{Yap_2018_ECCV_Workshops,
author = {Hoon Yap, Moi and Alarifi, Jhan and Ng, Choon-Ching and Batool, Nazre and Walker, Kevin},
title = {Automated Facial Wrinkles Annotator},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV) Workshops},
month = {September},
year = {2018}
}