• Journal of Korea Multimedia Society
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• v.7 no.1
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• pp.27-34
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• 2004

This thesis proposes a face detection algorithm using the color and edge informations in color image. The proposed algorithm segments skin color by Cb and Cr in YCbCr coordinates. Then face candidate regions are made after morphological filtering and labeling. For the regions, the Sobel vortical operation and horizontal projection are performed in the Y luminance components. The peak value indicates the eye location. Similarly, the chin location is detected by the Sobel horizontal operation and horizontal projection. The computer simulation shows that the proposed method gains similar detection rates of previous method and prevent facial region from including neck by detection of chin.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.12B
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• pp.1192-1198
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• 2010

As indicators of life quality have recently shown great improvement, alternative medicine is becoming a mainstream health care pattern, in which early stage medical examinations and treatments are usually preformed before diseases occur. In this context, the ear-acupuncture method is increasingly used these day as one of important alternative medicine treatments. In this paper, we performed an experiment of facial region color analysis with kidney ear acupuncture point irritation. For this, we collected facial image samples before and after kidney ear acupuncture point irritation under the same condition. From the samples, the change rates of K, L values of CMYK color system and Lab color system, respectively, on kidney related facial parts were extracted and analyzed to investigate kidney function improvement.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.6
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• pp.1257-1263
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• 2006

Many automatic medical devices have been invented and developed mostly for the western medicine, not for the oriental medicine. Facial ocular inspection is one of the four diagnosis methods of oriental medicine, which makes a diagnosis of disease by observing the shape and color of patient's vital organs. In facial ocular inspection, the regions of five sensory organs and Myungdang are specially important. In this paper, we propose a novel method to extract the five sensory organ and Myungdang from a facial image for facial ocular inspection. Finally, we show the usefulness of the proposed method by experiments.

• Journal of Korea Society of Industrial Information Systems
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• v.20 no.2
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• pp.57-63
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• 2015

Compared to other emotion recognition technology, facial expression recognition technology has the merit of non-contact, non-enforceable and convenience. In order to apply to a psychological robot, vision technology must be able to quickly and accurately extract the face region in the previous step of facial expression recognition. In this paper, we remove the background from any image using the YCbCr skin color technology, and use Haar-like Feature technology for robust face detection. We got the result of improved processing speed and robust face detection by removing the background from the input image.

• Journal of the Korean Society of Costume
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• v.61 no.2
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• pp.47-59
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• 2011

This study provides a systematic investigation about objective personal image consulting, tool development and image-making research by analyzing the status of the Korean image-consulting industry and education. For the research, we carried out literature surveys of books on image consulting and previous research reports. In particular, we surveyed image consulting businesses that have internet web sites, and educational institutes. The results of the survey are as follows: First, domestic image consulting businesses in Korea are investigated about 93 private companies and 4 associations. They do the image making, color consulting, and education for individuals and business. Second, professional image consulting education is carried out not only in the 93 private companies, but also in the continuing and professional studies for adults of 10 universities. Furthermore, more then 90 universities have specific academic programs related to the image consulting such as facial management, beauty coordination, cosmetology, stylists, fashion events, broadcasting stylists, and so on. Third, a typical image consulting job is the personal shoppers who assists VIP customers in department stores. Professionals and politicians have personal fashion stylists for their image making. Today, the job has expanded to public fashion therapist. Fourth, the contents of an image consulting education have appeared in similar industries and educations. These contents include fashion styles, personal color analysis, make-up, facial expressions, gestures, perfumes, accessories, etc. This study is based on research on the current Korean image-consulting industry, and will enable follow-up details to be implemented. using the basis of this study for a strategic self-image formation system.

• Journal of Fashion Business
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• v.7 no.6
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• pp.57-66
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• 2003

With the occurrence of interest in image-presentation that helps express one's individuality in several place in our society, it has affected make-up field. Now, make-up is getting to be recognized as a key role player that reflects our social and cultural concerns not only by presenting a appropriate one that is proper when to use and what for, but also presenting individualistic images that are able to express one's attractiveness free from a last plain concept that meant merely applying cosmetics to one's face is makeup. Like above, the reason that a change for consciousness of the function of make-up was possible is a noticeable outcome that results from the difference before and after make-up. In other word, with the help of Corrective Make-up that makes use of optical illusion, the analytic research for features could have been carried out systematically, therefore, women get to present their beauty of innate facial shape and features at their pleasure. The basic principles of the Corrective Make-up, which was introduced to satisfy the purpose of the existing make-up take advantage of lines and colors that are part of the optical illusion. The nature of direction and movement was expressed by the direction and angle of lines and the colors are also able to induce the variation of images depend on the whole color around them or contrastive color around. This thesis is mainly about optical illusion through lines that are part of elements that induce the optical illusion and deals with phenomena that occur when we apply lines that are part of design into the make-up. And this is written for the purpose of establishing the last basis of make-up more scientifically and systematically through the research for the variation when we apply the nature of lines into our features and deriving facial image variation from it. This is also for study into the role of make-up as for psychological effect that is able to make facial images look different when the optical illusion with possible visual errors is applied into it. In conclusion, we can say "Make-up is optical illusion through visual elements such as lines, surfaces, books, touch and so on."

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.1
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• pp.104-114
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• 1999

This paper proposes an efficient method for the automatic generation of personalized 3D face model from color image sequence. To detect a robust facial region in a complex background, moving color detection technique based on he facial color distribution has been suggested. Color distribution and edge position information in the detected face region are used to extract the exact 31 facial feature points of the facial description parameter(FDP) proposed by MPEG-4 SNHC(Synthetic-Natural Hybrid Coding) adhoc group. Extracted feature points are then applied to the corresponding vertex points of the 3D generic face model composed of 1038 triangular mesh points. The personalized 3D face model can be generated automatically in less then 2 seconds on Pentium PC.

• 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.

• Fashion & Textile Research Journal
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• v.13 no.3
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• pp.409-417
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• 2011

This study aims to investigate makeup images shown in the beauty trends and analyzes the characteristics of makeup colors depending on the types of facial makeup. This survey's collected data includes a total of 365 makeup colors which have been shown in the beauty trends for the last three years. The pictures and vocabularies shown in such data were analyzed and thus we could have classificatorily six kinds of makeup images. In addition, makeup colors were divided into two subcategories: eye makeup and lip makeup, both of which have the most significant impact on the makeup images. As the results, the types of makeup images shown at beauty trends were classified such as natural image, gorgeous image, elegant image, sophisticate image, and romantic image. If analyzing yearly changes, active, romantic, and elegant images were common in 2008, and natural image displayed a certain strong tendency amid pro-environmental trends in 2009, and gorgeous images were appeared apparently in 2010, while natural image showed a bullish tendency yet. Regarding to color characteristics by makeup images shown at beauty trends, YR color in eye makeup and R in lip makeup looked bullish generally, and a lot of changes were shown in color tones. This fact gives help in grasping fashion colors and color tones of yearly makeups. Based on these results, this study examines makeup colors for expressing makeup images closely, and then suggests that it could be utilized in makeup color planning.

• Journal of the Korea Convergence Society
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• v.10 no.5
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• pp.1-8
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• 2019

In this paper, we propose an improved facial skin color extraction method to solve the problem that facial surface is lost due to shadow or illumination in skin color extraction process and skin color extraction is not possible. In the conventional HSV method, when facial surface is brightly illuminated by light, the skin color component is lost in the skin color extraction process, so that a loss area appears on the face surface. In order to solve these problems, we extract the skin color, determine the elements in the H channel value range of the skin color in the HSV color space among the lost skin elements, and combine the coordinates of the lost part with the coordinates of the original image, To minimize the number of In the face detection process, the face was detected using the LBP Cascade Classifier, which represents texture feature information in the extracted skin color image. Experimental results show that the proposed method improves the detection rate and accuracy by 5.8% and 9.6%, respectively, compared with conventional RGB and HSV skin color extraction and face detection using the LBP cascade classifier method.