• Title/Summary/Keyword: 피부색상

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Damage Prevention Effect of Green Tea Seed Oil on Colored and Decolored Hair (녹차씨 오일이 염색 및 탈색된 모발의 재손상 및 탈색 방지에 미치는 영향)

  • Min, Myung-Ja;Choi, Moon-Hee;Kim, Gwui Cheol;Shin, Hyun-Jae
    • KSBB Journal
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    • v.28 no.5
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    • pp.287-294
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    • 2013
  • Stained and discolored hair will be damaged by the shampooing, daily UV disposal, and the use of hair dryer. Thus many studies about the effect of various natural substances on the re-secure the skin and scalp are recently reported. This study was carried out to investigate the effect of green tea (Camelloia sinensis) seed oil on colored (dyed) and decolored (bleached) hair. The beneficial effects of green tea seed oil are already well known, but little research has been done about the hair treatment and fade-resistant effect. Dyed and bleached hair was pretreated with green tea seed oil to determine the tensile strength and elongation of the hair, to analyze the hair surface using SEM, and to compare the color fade using spectrocolormeter. The results showed that the tensile strength increased with green tea seed oil pretreatment samples for virgin, dyed, and bleached hairs. Elongation showed the reverse results showing the presence of hair treatment effect. The results of the surface pre-treatment in all groups analyzed by SEM, the hair cuticle became sharper, so coating effect were identified with all samples. The value of the $L^*$, $a^*$, $b^*$ decreased with washed hairs damaged by UV irradiation and the values were decreased also in dyed and bleached hair. In summary, green tea seed oil prevent reinjury to the heat and UV rays for colored and decolored hairs. Cosmetic practice effects of the oil were identified in the field to be appropriate to the customer's skin and scalp that natural cosmetic oils would like to offer.

Albedo Based Fake Face Detection (빛의 반사량 측정을 통한 가면 착용 위변조 얼굴 검출)

  • Kim, Young-Shin;Na, Jae-Keun;Yoon, Sung-Beak;Yi, June-Ho
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.45 no.6
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    • pp.139-146
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    • 2008
  • Masked fake face detection using ordinary visible images is a formidable task when the mask is accurately made with special makeup. Considering recent advances in special makeup technology, a reliable solution to detect masked fake faces is essential to the development of a complete face recognition system. This research proposes a method for masked fake face detection that exploits reflectance disparity due to object material and its surface color. First, we have shown that measuring of albedo can be simplified to radiance measurement when a practical face recognition system is deployed under the user-cooperative environment. This enables us to obtain albedo just by grey values in the image captured. Second, we have found that 850nm infrared light is effective to discriminate between facial skin and mask material using reflectance disparity. On the other hand, 650nm visible light is known to be suitable for distinguishing different facial skin colors between ethnic groups. We use a 2D vector consisting of radiance measurements under 850nm and 659nm illumination as a feature vector. Facial skin and mask material show linearly separable distributions in the feature space. By employing FIB, we have achieved 97.8% accuracy in fake face detection. Our method is applicable to faces of different skin colors, and can be easily implemented into commercial face recognition systems.

Comparative Study of Melanin Content in Corneocyte with Skin Color (각질세포 내 멜라닌 정량과 피부색의 비교 연구)

  • Kwak, Taek-Jong;Chang, Min-Youl;Lee, Sang-Min;Park, Sun-Kyoo;Park, Soo-Nam
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.36 no.3
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    • pp.193-198
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    • 2010
  • Melanin is synthesized by the melanocytes in basal layer of epidermis and distributed over all the layers of skin including corneocytes in stratum corneum, outermost layer of the epidermis. Melanin of corneocytes was stained using Fontana-Masson method and quantified by image analysis. The correlation between melanin contents and skin color value was estimated in the skin of 71 Korean women. Melanin covering area (MCA) showed good correlation with $L^*$ value and $ITA^{\circ}$ (Individual Typology Angle) (r = 0.6049, 0.6651, respectively). MCA can be used as new parameter for skin color study and has potential application for evaluating the efficacy of the skin whitening cosmetics.

Study on the Bioactive Characteristics of Morinda citrifolia as a Cosmetic Raw Material (화장품 소재로서의 노니 추출물에 관한 특성연구)

  • Kim, Seung-Heui;JANG, HYE-JIN
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.42 no.2
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    • pp.183-193
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    • 2016
  • This study attempted to investigate the possibility of the use of Morinda citrifolia (MC) as a cosmetic ingredient from its physiological activities such as antioxidant activity, cytotoxicity and anti-aging effect. MC is a tropical plant that has been used as traditional polynesian foods and medicines for over two thousand years. It has been reported that this shrub can improve antimicrobial, anti-cancer and anti-inflammatory effects and strengthen an immune system. The in vitro antioxidant activity of MC was performed to see the DPPH scavenging activity by measuring total polyphenol content and total flavonoid content. As a result, a lack of any cytotoxicity was confirmed in human dermal fibroblasts (HDF) cell. When MC extract at a concentration of over $50{\sim}100{\mu}g/mL$ was added, MMP-1 expression considerably diminished. In an in vivo test, in addition, cream containing MC extract was prepared and applied to a total of 22 women in their 30 ~ 50s in ages in the morning and in the evening for four weeks. Changes in keratin, melanin index, pore, skin color and wrinkles under the naked eyes were then comparatively measured. Keratin levels slightly increased in the control group but decreased in the experimental group. In addition, wrinkles diminished in the experimental group. This study found that MC extract controls many MMP-1 related mechanisms with great potential for use as a natural ingredient of anti-aging cosmetics.

A Flexible Protection Technique of an Object Region Using Image Blurring (영상 블러링을 사용한 물체 영역의 유연한 보호 기법)

  • Jang, Seok-Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.6
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    • pp.84-90
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    • 2020
  • As the uploading and downloading of data through the Internet is becoming more common, data including personal information are easily exposed to unauthorized users. In this study, we detect a target area in images that contain personal information, except for the background, and we protect the detected target area by using a blocking method suitable for the surrounding situation. In this method, only the target area from color image input containing personal information is segmented based on skin color. Subsequently, blurring of the corresponding area is performed in multiple stages based on the surrounding situation to effectively block the detected area, thereby protecting the personal information from being exposed. Experimental results show that the proposed method blocks the object region containing personal information 2.3% more accurately than an existing method. The proposed method is expected to be utilized in fields related to image processing, such as video security, target surveillance, and object covering.

Implement of Hand Gesture Interface using Ratio and Size Variation of Gesture Clipping Region (제스쳐 클리핑 영역 비율과 크기 변화를 이용한 손-동작 인터페이스 구현)

  • Choi, Chang-Yur;Lee, Woo-Beom
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.13 no.1
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    • pp.121-127
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    • 2013
  • A vision based hand-gesture interface method for substituting a pointing device is proposed in this paper, which is used the ratio and size variation of Gesture Region. Proposed method uses the skin hue&saturation of the hand region from the HSI color model to extract the hand region effectively. This method can remove the non-hand region, and reduces the noise effect by the light source. Also, as the computation quantity is reduced by detecting not the static hand-shape recognition, but the ratio and size variation of hand-moving from the clipped hand region in real time, more response speed is guaranteed. In order to evaluate the performance of the our proposed method, after applying to the computerized self visual acuity testing system as a pointing device. As a result, the proposed method showed the average 86% gesture recognition ratio and 87% coordinate moving recognition ratio.

Marketing Mix Factors affecting on Purchasing Intention of Cosmetics Users by Using Kano Model (Kano 모델을 이용한 화장품 구매의도에 영향을 미치는 마케팅 믹스요인에 관한 연구)

  • Choi, Young Jin;Chang, Gyoo Soon
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.9 no.6
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    • pp.153-161
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    • 2014
  • This study is to contribute to the policy decision of cosmetic industry through analyzing marketing mix factors which affects customers' buying intention. For this study, marketing mix factors that impact on cosmetic customers purchasing intention were collected and chi-square independence analysis of SPSS and qualitative analysis technology of Kano & Timko were used. Analysis reached one conclusion, which factors were maximizing customers satisfaction, shows the price discount policy and recommendation from family and colleague. Product's effectiveness, usefulness and skin compatibility were rated as an one-dimensional quality as those factors were linearly affected when customers needs were satisfied. However product's containers, package design, colors, brand reputation, low and middle price, distribution channel and advertising medias were investigated as an indifferent quality and they were rated as low satisfaction/dissatisfaction coefficient of Timko. Therefore they do not need to invest to those factors too much budget for attaining customers' buying intention.

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Dynamic Bayesian Network based Two-Hand Gesture Recognition (동적 베이스망 기반의 양손 제스처 인식)

  • Suk, Heung-Il;Sin, Bong-Kee
    • Journal of KIISE:Software and Applications
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    • v.35 no.4
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    • pp.265-279
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    • 2008
  • The idea of using hand gestures for human-computer interaction is not new and has been studied intensively during the last dorado with a significant amount of qualitative progress that, however, has been short of our expectations. This paper describes a dynamic Bayesian network or DBN based approach to both two-hand gestures and one-hand gestures. Unlike wired glove-based approaches, the success of camera-based methods depends greatly on the image processing and feature extraction results. So the proposed method of DBN-based inference is preceded by fail-safe steps of skin extraction and modeling, and motion tracking. Then a new gesture recognition model for a set of both one-hand and two-hand gestures is proposed based on the dynamic Bayesian network framework which makes it easy to represent the relationship among features and incorporate new information to a model. In an experiment with ten isolated gestures, we obtained the recognition rate upwards of 99.59% with cross validation. The proposed model and the related approach are believed to have a strong potential for successful applications to other related problems such as sign languages.

Sclera Segmentation for the Measurement of Conjunctival Injection (결막 충혈도 측정을 위한 공막 영상 분할)

  • Bae, Jang-Pyo;Kim, Kwang-Gi;Jeong, Chang-Bu;Yang, Hee-Kyung;Hwang, Jeong-Min
    • Journal of Korea Multimedia Society
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    • v.13 no.8
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    • pp.1142-1153
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    • 2010
  • Conjunctival injection is the initial symptom of various eye diseases such as conjunctivitis, keratitis, or uveitis. The quantification of conjunctival injection may help the diagnosis and follow-up evaluation of various eye diseases. The size of the sclera is an important factor for the quantification of conjunctival injection. However, previous manual segmentation is time-consuming.Automatic segmentation is needed to extract the objective region of interest. This paper proposed a method based on the level set algorithm to segment the sclera from an anterior eye image. The initial model of the level set algorithm is calculated using the Lab color space, k-means algorithm and the geometric information. The level set algorithm was applied to the images in which the valley between the eyeball and skin was enhanced using the hessian analysis. This algorithm was tested with 52 images of the anterior eye segment. Results showed that the proposed method performs better than those with the level set algorithm using an arbitrary circle, or the region growing algorithm with color information. The proposed method for the segmentation of sclera may become an important component for the objective measurement of the conjunctival injection.

The Sociocultural Value Research of Man Image and Make-up in Media (미디어에 나타난 남성의 이미지와 메이크업의 사회문화적 가치 분석)

  • Kim, Hye-Kyun;Park, Myung-Hee
    • Journal of Digital Convergence
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    • v.11 no.4
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    • pp.449-457
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    • 2013
  • This study seeks to find the sociocultural value which influences the man image and make-up in media. It helps to gain the effective data that suggest the application of male make-up in promoting development of market. The man emphasizes the practical value which is the technical and instrumental value to express the man image rationally, aesthetic value to pursue aesthetic purely and symbolic value which is a volitional and intentional value experienced in the history and society to express preferring man images as the society is changed. As analysing the man image based on sociocultural value, the practical value of men's make-up is to maximize the utility vale in order to deliver a clear image considering their activity range, environment, and situation. Second, the aesthetical value of men's make-up is to emphasize femininity through women's make-up technic. Third, the symbolic value of men's make-up is to deliver a concept or intentionally create an image by maximizing overall characteristic image. It will be hopefully valuable as a basic data for developing make-up products and setting trend for men as well as for future studies.