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Tracking skin colour and wrinkle changes during cosmetic product trials using smartphone images

Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389, Srungavarapu, Swathikiran, Messaraa, Cyril orcid logoORCID: 0000-0002-4948-9949 and Tansey, Claire (2020) Tracking skin colour and wrinkle changes during cosmetic product trials using smartphone images. Skin Research And Technology, 27 (2). pp. 249-256. ISSN 0909-752X

Abstract
Background: To explore how the efficacy of product trials for skin cosmetics can be improved through the use of consumer-level images taken by volunteers using a conventional smartphone. Materials and Methods: 12 women aged 30-60 years participated in a product trial and had close-up images of the cheek and temple regions of their faces taken with a high-resolution Antera 3D CS camera at the start and end of a 4-week period. Additionally, they each had “selfies” of the same regions of their faces taken regu- larly throughout the trial period. Automatic image analysis to identify changes in skin colour used three kinds of colour normalisation and analysis for wrinkle composition identified edges and calculated their magnitude. Results: Images taken at the start and end of the trial acted as baseline ground truth for normalisation of smartphone images and showed large changes in both colour and wrinkle magnitude during the trial for many volunteers. Conclusions: Results demonstrate that regular use of selfie smartphone images within trial periods can add value to interpretation of the efficacy of the trial.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:colour normalisation, computer vision, edge detection, skin physiology/structure
Subjects:Computer Science > Artificial intelligence
Computer Science > Image processing
Computer Science > Multimedia systems
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Publisher:Wiley
Official URL:http://dx.doi.org/10.1111/srt.12928
Copyright Information:© 2020 The Authors
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland. Grant Number: SFI/12/RC/2289 (Insight Research Centre)
ID Code:24924
Deposited On:07 Oct 2020 14:48 by Alan Smeaton . Last Modified 03 Apr 2023 08:48
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