Skin-representative region in a face for finding real skin color

Choi, Hayan; Choi, Kee‐Hyun; Suk, Hyeon‐Jeong

doi:10.2352/issn.2470-1173.2017.17.coimg-425

Cited by 2 publications

(1 citation statement)

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“…Not only redness, but also overall color of human skin is a crucial parameter in scientific studies that needs to be assessed in an unbiased manner 54,55 . Skin tone is mainly dictated by chromophores like hemoglobin, melanin, bilirubin and carotenoids 56 .…”

Section: Discussionmentioning

confidence: 99%

Skinly: A novel handheld IoT device for validating biophysical skin characteristics

Tobar,

Clemann,

Hagens

et al. 2024

Skin Research and Technology

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BackgroundRecent advancements in artificial intelligence have revolutionized dermatological diagnostics. These technologies, particularly machine learning (ML), including deep learning (DL), have shown accuracy equivalent or even superior to human experts in diagnosing skin conditions like melanoma. With the integration of ML, including DL, the development of at home skin analysis devices has become feasible. To this end, we introduced the Skinly system, a handheld device capable of evaluating various personal skin characteristics noninvasively.Materials and MethodsEquipped with a moisture sensor and a multi‐light‐source camera, Skinly can assess age‐related skin parameters and specific skin properties. Utilizing state‐of‐the‐art DL, Skinly processed vast amounts of images efficiently. The Skinly system's efficacy was validated both in the lab and at home, comparing its results to established “gold standard” methods.ResultsOur findings revealed that the Skinly device can accurately measure age‐associated parameters, that is, facial age, skin evenness, and wrinkles. Furthermore, Skinly produced data consistent with established devices for parameters like glossiness, skin tone, redness, and porphyrin levels. A separate study was conducted to evaluate the effects of two moisturizing formulations on skin hydration in laboratory studies with standard instrumentation and at home with Skinly.ConclusionThanks to its capability for multi‐parameter measurements, the Skinly device, combined with its smartphone application, holds the potential to replace more expensive, time‐consuming diagnostic tools. Collectively, the Skinly device opens new avenues in dermatological research, offering a reliable, versatile tool for comprehensive skin analysis.

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Section: Discussionmentioning

confidence: 99%

Skinly: A novel handheld IoT device for validating biophysical skin characteristics

Tobar,

Clemann,

Hagens

et al. 2024

Skin Research and Technology

View full text Add to dashboard Cite

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Exploring the Facial Color Representative Regions Using the Humanae Images

Yan¹,

Choi²,

Suk³

2020

jist

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It is difficult to describe facial skin color through a solid color as it varies from region to region. In this article, the authors utilized image analysis to identify the facial color representative region. A total of 1052 female images from Humanae project were selected as a solid color was generated for each image as their representative skin colors by the photographer. Using the open CV-based libraries, such as EOS of Surrey Face Models and DeepFace, 3448 facial landmarks together with gender and race information were detected. For an illustrative and intuitive analysis, they then re-defined 27 visually important sub-regions to cluster the landmarks. The 27 sub-region colors for each image were finally derived and recorded in L∗, a∗, and b∗. By estimating the color difference among representative color and 27 sub-regions, we discovered that sub-regions of below lips (low Labial) and central cheeks (upper Buccal) were the most representative regions across four major ethnicity groups. In future study, the methodology is expected to be applied for more image sources.

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Skin-representative region in a face for finding real skin color

Cited by 2 publications

References 0 publications

Skinly: A novel handheld IoT device for validating biophysical skin characteristics

Skinly: A novel handheld IoT device for validating biophysical skin characteristics

Exploring the Facial Color Representative Regions Using the Humanae Images

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