• Journal of Advanced Information Technology and Convergence
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• v.8 no.2
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• pp.47-58
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• 2018

In this paper, we propose a method for skin condition analysis using a camera module embedded in a smartphone without a separate skin diagnosis device. The type of skin disease detected in facial image taken by smartphone is acne, pigmentation, blemish and flush. Face features and regions were detected using Haar features, and skin regions were detected using YCbCr and HSV color models. Acne and flush were extracted by setting the range of a component image hue, and pigmentation was calculated by calculating the factor between the minimum and maximum value of the corresponding skin pixel in the component image R. Blemish was detected on the basis of adaptive thresholds in gray scale level images. As a result of the experiment, the proposed skin condition analysis showed that skin diseases of acne, pigmentation, blemish and flush were effectively detected.

• Journal of the Korea Computer Graphics Society
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• v.16 no.1
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• pp.1-7
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• 2010

With the widespread use of vision-based surveillance systems, the capability for person identification is now an essential component. However, the CCTV cameras used in surveillance systems tend to produce relatively low-resolution images, making it difficult to use face recognition techniques for person identification. Therefore, an algorithm is proposed for person identification in CCTV camera images based on the clothing. Whenever a person is authenticated at the main entrance of a building, the clothing feature of that person is extracted and added to the database. Using a given image, the clothing area is detected using background subtraction and skin color detection techniques. The clothing feature vector is then composed of textural and color features of the clothing region, where the textural feature is extracted based on a local edge histogram, while the color feature is extracted using octree-based quantization of a color map. When given a query image, the person can then be identified by finding the most similar clothing feature from the database, where the Euclidean distance is used as the similarity measure. Experimental results show an 80% success rate for person identification with the proposed algorithm, and only a 43% success rate when using face recognition.

• Korean Journal of Human Ecology
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• v.16 no.4
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• pp.825-835
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• 2007

The purpose of this research is to examine the relationship between body satisfaction and appearance enhancement behavior of college students. A questionnaire survey was conducted on 234 college students in Cheong-ju area, Korea. Frequency, descriptive analysis, $x^2$ and t-tests were used for data analysis. Male students were generally satisfied with their height but not with their weight, while female students were not satisfied with their height and weight. There were significant gender differences in satisfaction with their skin color: male students were mostly satisfied with their skin color other than female students. The body satisfaction degree of college students depended on gender: the male students showed more satisfaction with their physical condition than the female students. Of the college student's improving-appearance behaviors such as face-lifting by plastic surgery, make-up by cosmetics and skin care, their preferable choice depended on their gender. When purchasing clothes, they considered if the clothes could cover their defects of their body line and improve their physical appearance. The levels of body satisfaction were significantly different according to their appearance enhancement behaviors.

• The KIPS Transactions:PartB
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• v.17B no.3
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• pp.227-232
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• 2010

This paper proposes the real time lip reading method in the embedded environment. The embedded environment has the limited sources to use compared to existing PC environment, so it is hard to drive the lip reading system with existing PC environment in the embedded environment in real time. To solve the problem, this paper suggests detection methods of lip region, feature extraction of lips, and awareness methods of phonetic words suitable to the embedded environment. First, it detects the face region by using face color information to find out the accurate lip region and then detects the exact lip region by finding the position of both eyes from the detected face region and using the geometric relations. To detect strong features of lighting variables by the changing surroundings, histogram matching, lip folding, and RASTA filter were applied, and the properties extracted by using the principal component analysis(PCA) were used for recognition. The result of the test has shown the processing speed between 1.15 and 2.35 sec. according to vocalizations in the embedded environment of CPU 806Mhz, RAM 128MB specifications and obtained 77% of recognition as 139 among 180 words were recognized.

• The Research Journal of the Costume Culture
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• v.12 no.6 s.53
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• pp.1045-1059
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• 2004

The purpose of the present study was to investigate the total coordination as determined by personality, appearance-related characteristics. Data were collected through a self-administered questionnaire survey from December 18, 2003 to January 13, 2004 from 650 women living in Seoul in the age range of $20{\sim}35$; 500 were used for the data analysis. Data were analyzed by chi-square analysis, ANOVA, descriptive statistics, cluster analysis and Duncan's multiple range test were used. The results showed significant differences in the total coordination behaviors among the groups divided by personality and appearance-related characteristics. Those who had the independent extrovert personality, egg-shaped face or white skin color were most positive with regards to the extent and behaviors of the total coordination.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.10 no.6
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• pp.609-616
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• 2017

In this paper, we propose an algorithm to obtain more stable and high recognition rate by using left and right rotation information of input image in order to obtain a stable recognition rate in face recognition. The proposed algorithm uses the facial image as the input information in the web camera environment to reduce the size of the image and normalize the information about the brightness and color to obtain the improved recognition rate. We apply Principal Component Analysis (PCA) to the detected candidate regions to obtain feature vectors and classify faces. Also, In order to reduce the error rate range of the recognition rate, a set of data with the left and right $45^{\circ}$ rotation information is constructed considering the directionality of the input face image, and each feature vector is obtained with PCA. In order to obtain a stable recognition rate with the obtained feature vector, it is after scattered in the eigenspace and the final face is recognized by comparing euclidean distant distances to each feature. The PCA-based feature vector is low-dimensional data, but there is no problem in expressing the face, and the recognition speed can be fast because of the small amount of calculation. The method proposed in this paper can improve the safety and accuracy of recognition and recognition rate faster than other algorithms, and can be used for real-time recognition system.

• Journal of Digital Contents Society
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• v.19 no.9
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• pp.1653-1662
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• 2018

Inspired by the increasing popularity of cosmetic-related mobile application as a tool for instant beautification, the present study examined colors of virtual makeup templates and makeup looks. A survey study was performed by thirty-six respondents to determine the top three desirable virtual makeup templates among nineteen templates. The templates of 'Bella', 'Hilary' and 'Cara' were then analyzed by makeup specialists and color experts for the evaluation of their makeup design and colors. Each color feature of three makeup templates were also evaluated through statistical analysis of ANOVA on the measure of $L^*a^*b^*$ crossed with five types of face elements on three types of virtual makeup images. Overall results indicate that Korean female users in their 20s and 30s preferred a similar makeup concept appeared in makeup template and key worlds. They also preferred a pale skin tone with higher lightness and a slightly higher saturated lip color as an emphasis than other features.

• Journal of Fashion Business
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• v.15 no.5
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• pp.195-219
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• 2011

The purpose of the study is to analyze Hollywood actresses' makeup in formative characteristics and see the transition of the change for the usage as the fundamental materials to develop the future makeup field academy with the focus focused from 1920s to 2000s when the cosmetic industry began in earnest. The content of the study is to see the transition of the change by analyzing makeup of each era in formative aspect after seeing the transition of the makeup change in the social background by classifying by 10 years from 1920s to 2000s with related literature as the center in the theoretical background. The method of the study is to analyze makeup in formative aspect with total 180 pieces of pictures selected by two experts among their photos by selecting four actresses by each era and analyze Hollywood actresses' advertisement pictures which can be called as beauty icons at that time. Analysis frame to analyze the formativeness established new classification frame based on theories of Marian L. Davis, Marilyn Revell Delong, and Kang to analyze line, shape, texture, and decoration, and researcher's analysis frame was prepared based Munsell's color circle, tone analysis of P.C.C.S color system, and Kang's makeup color name to analyze colors. The result of the study is like below. Generally 20s and 30s highlighted line of eyebrows, 40s naturalness, 50s and 60s highlighted eye makeup, and from 70s makeup was focused on health, in 80s colorful makeup was boom, and 90s and 2000s has shown characteristics focused on texture of face.

• The Research Journal of the Costume Culture
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• v.17 no.1
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• pp.76-89
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• 2009

Popular music unites people who have different genders, ages, locals, and values. Through the popular music, youth interchange their emotion and create their fashion. Fashion and music formed the twin pillars on which the first historically significant youth sub-culture was built. Glam rock and Punk rock which won popularity in the 1970s influenced the fashion of the times. The purpose of this study is to compare Glam and Punk make-up which appeared as a symbol of the rebel against an older generation. The methodology utilized in this study was the analysis of materials from the survey through the literature, internet sites, and visual references. The results of this study are as follows: In face make-up, Glam used a white base to appear cosmic; on the other hand, Punk used a white base to appear pale and horrid. In eye make-up, Glam used black, pink, and blue eye shadow, and accented the eye by using black eye lines. Punk used black eye shadow, and drew black circles or squares around eyes. In lip make-up, Glam used pink, purple, red, and black lip color and silver and pink lip gloss to glitter. Punk used red and black lip color to appear horrid. In body make-up, Glam used glitter powder to appear with a bright skin. Punk drew tattoos and horror patterns in their body. The common themes of Glam and Punk make-up were rebellion, androgyny, and the beauty of ugliness as well as a self-created persona.

• Archives of Plastic Surgery
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• v.34 no.1
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• pp.70-76
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• 2007

Purpose: Full-thickness skin grafts are usually used in facial reconstruction, but on occasion, split-thickness skin graft is also used from the scalp due to the limitation of donor site. However, there were complications, such as alopecia, folliculitis and blood loss. In addition, it can not be used in patients with baldness. Under the circumstances, we used medial arm skin as split-thickness skin graft donor site in lieu of scalp. We investigated the efficacy of the medial arm skin as a donor site of facial skin graft in comparison with scalp. Methods: From 2000 to 2005, the split-thicknesss skin grafts were performed using the medial arm skin in 10 patients and the scalp in 10 patients. We inspected the skin color match, texture match by the visual analogue scale. Scar contracture was estimated by the Visitrak $grade^{(R)}$(Smith & Nephew). The statistical analysis was performed by SPSS 12.0. Results: There was a more satisfaction in color match, texture, and scar contracture in medial arm skin than in scalp. Conclusion: According to these results, medial arm skin may be used efficiently as an alternative donor site of scalp in the facial reconstruction.