• Proceedings of the SCSK Conference
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• 2003.09a
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• pp.162-177
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• 2003

It has been known that the color of skin reflects the blood flow within. In lips, the capillaries close to the skin surface are numerous; hence lips are redder than the rest of face. However, dermatological research on lips is not as advanced as research on facial or body skin, and little was known about the relationship between relatively dull-colored lips and skin blood flow. The physiological differences between colorful and dull-colored lips were studied by a two-dimensional laser Doppler blood flow analyzer, a spectrometer for the measurement of the degree of oxygen saturation, and a confocal microscope for observing inside lips non-invasively. Dull-colored lips and the corner of lips (dull-colored compared to the center) showed relatively poor blood flow and lower oxygenated hemoglobin. It was found that colorful lips (generally the young) had a blood flow that tended to run straight in parallel with the skin surface. This unique blood-capillary structure can express clear red blood. Those with dull-colored lips had lost this unique structure. Their blood ran perpendicularly from the deep of the skin and down back again into the deep part as like the blood circulation patterns of facial skin. Therefore, the lips of the latter group had fewer blood capillaries near skin surface in the lips than that of the colorful-lips group. A lipstick containing a-glucosyl-hesperidin, which is derived from certain citrus fruits and can enhance blood circulation, was applied for evaluating its effects. Blood flow was increased 30 min after the application. After two weeks of daily application, the lips' condition became noticeably less dull. These findings suggest that the decrease of blood flow in dull-colored lips is caused by the loss of the unique capillary structure and the use of the lipstick to increase blood flow can give a vivid color to lips.

• Journal of the Korean Applied Science and Technology
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• v.38 no.6
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• pp.1654-1666
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• 2021

In this study, the impression formation according to the lip design of beauty makeup, preferred lips and its reasons have been empirically analyzed. The research method is a questionnaire survey using SPSS program. As a result of the study, it has been founded the significant influence of the color and shape of the lips on the impression formation, and the modern people's views on lip makeup could be identified. The most preferred lip color was red, and the preferred lip shape was the standard type. As a result of factor analysis, red color showed the highest capability factor, and pink color showed the highest sociability factor among lip colors. It hopefully is expected that this study will be utilized as basic data for beauty design.

• Journal of Fashion Business
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• v.10 no.4
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• pp.78-94
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• 2006

The purpose of this study is to analyze and to compare the makeup style and the ideal beauty of the Renaissance and the Baroque by examining the portraits. The result of this study is as follows. Firstly, as for the Renaissance makeup, they preferred a broad forehead and thin eyebrows. The color for lips and cheeks makeup was orange and light orange in fashion. Secondly, as for the Baroque makeup, they preferred a broad face with double chin, dark and thick eyebrows and small lips. The color for lips and cheeks was reddish and clear. Finally, as for comparison the these ages, the Renaissance ideal beauty was a little plentiful women with a broad forehead, thin eyebrow. But the Baroque ideal beauty was totally plentiful women with thick eyebrows, clear reddish lips and cheeks. The color of lips and cheeks was more reddish and clear in Baroque. The Baroque women had the smaller lips than the Renaissance women and they are more plentiful and modern with a flourish than the others.

• Journal of Fashion Business
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• v.11 no.3
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• pp.106-123
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• 2007

The purpose of this research is to study if the images that make-up advertisement tries to symbolize can be altered with changes only in the colors of make-up and without any changes in other factors and if colors can be tools of communication in image. Also, we studied the interaction between the partial changes of eyes and lips. The results are as follows. First, we studied if the images that make-up advertisement tries to symbolize can be altered with changes only in the colors of make-up and without any changes in other factors. The study revealed more or less differences, however, when we applied colors of each image on photos, people had higher recognition on that image more than other images. Therefore, we can conclude that the image can be changed merely with the change from colors of make-up. Second, we changed the make-up colors of lips and eyes separately and studied the interaction of the two. When natural colors and elegant color were applied, there was no interaction of color application between eyes and lips within 0.1 significance level. In the case of romantic colors, there was interaction of applying colors between lips and eyes within 0.1 significance level. When we applied gorgeous colors and modern colors, there was interaction of applying colors between lips and eyes within 0.1 significance level. Therefore, from the interaction of the two, it was recognized to be most gorgeous or most modern when gorgeous colors or modern colors were applied in both lips and eyes.

• Journal of Korea Multimedia Society
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• v.20 no.2
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• pp.108-114
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• 2017

Lip reading is a field of image processing to assist the process of sound recognition. In some environment, the capture of sound signal usually has significant noise and therefore, the recognition rate of sound signal decreases. Lip reading can be a good feature for the increase of recognition rates. Conventional lip extraction methods have been proposed widely. Maia et. al. proposed a method by the sum of Cr and Cb. However, there are two problems as follows: the point with maximum saturation is not always regarded as lips region and the inner part of lips such as oral cavity and teeth can be classified as lips. To solve these problems, this paper proposes a method which adopts the histogram-based classifier for the extraction of lips region. The proposed method consists of two stages, learning and test. The amount of computation is minimized because this method has no color conversion. The performance of proposed method gives 66.8% of detection rate compared to 28% of conventional ones.

• The Research Journal of the Costume Culture
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• v.17 no.4
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• pp.561-574
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• 2009

Black has been the most important color of all since the ancient times when the recognition of black roused, as well as during most of the eras; and can especially be said as the main color which controlled the chronicles of fashion. The purpose of the study was to broaden the application of black color image make-up by inquiring into make-up design elemental characteristics of lines and textures, after classifying magazine illustrations and advertisement make-up images using black. The photos which made effective use of black among fashion illustrations, magazine advertisements after 2001 were classified in to each type, and make-up expression method and characteristics according to design element of each image type was analyzed. The conclusion of such study was the following. 'Erotic image' showed contrast effect between eye make-up and lip color by using pale tone or red color. 'Mannish image' emphasized form and texture of eyebrow by restraining the colors of eyelids with natural brown tone eye make-up; 'Modern image' expressed vague eyebrow to bring the sensation of the direction of eye shadow on eyelids and eye line as well as slant line to relief. 'Kitsch image' showed free and light imagery by creating unique hair style with various colors; expressing lips mostly with colors similar to skin tone or by restraining colors on lips. 'Decadence image' showed messy and foul sensation with unstandardized eye make-up and matt skin of shimmer, glossy and pale tone, also with black colored lips; 'Retro image' expressed reinterpretation of images from 1920${\sim}$1960 to contemporary styles.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.2028-2031
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• 2003

This paper proposes a face identification algorithm, robust on lighting condition and complex background. The proposed method estimates facial area under bad light condition by expanding face color boundaries and then finds a lip using the templates for lips. Then the eyes are found using their topological relationship with the long and short axes of lip area. The experimental results have shown that the proposed algorithm is robust on lighting conditions and complex background.

• Journal of Advanced Navigation Technology
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• v.15 no.4
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• pp.672-679
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• 2011

In this paper, detection algorithm of face region based on skin color of in the TV images is proposed. In the first, reference image is set to the sampled skin color, and then the extracted of face region is candidated using the Euclidean distance between the pixels of TV image. The eye image is detected by using the mean value and standard deviation of the component forming color difference between Y and C through the conversion of RGB color into CMY color model. Detecting the lips image is calculated by utilizing Q component through the conversion of RGB color model into YIQ color space. The detection of the face region is extracted using basis of knowledge by doing logical calculation of the eye image and lips image. To testify the proposed method, some experiments are performed using front color image down loaded from TV color image. Experimental results showed that face region can be detected in both case of the irrespective location & size of the human face.

• The Journal of the Korea Contents Association
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• v.9 no.7
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• pp.159-170
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• 2009

It is very important to extract the expression data and capture a face image from a video for online-based 3D face animation. In recently, there are many researches on vision-based approach that captures the expression of an actor in a video and applies them to 3D face model. In this paper, we propose an automatic data extraction system, which extracts and traces a face and expression data from realtime video inputs. The procedures of our system consist of three steps: face detection, face feature extraction, and face tracing. In face detection, we detect skin pixels using YCbCr skin color model and verifies the face area using Haar-based classifier. We use the brightness and color information for extracting the eyes and lips data related facial expression. We extract 10 feature points from eyes and lips area considering FAP defined in MPEG-4. Then, we trace the displacement of the extracted features from continuous frames using color probabilistic distribution model. The experiments showed that our system could trace the expression data to about 8fps.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.8
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• pp.3028-3035
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• 2010

This paper propose a genetic method based on probability map to detect region of the lips on a natural image with the faces. The method has many solutions in order to detect regions such as the lips instead of one optimal solution of existing methods. To do this, it represents a pair of spatial coordinates as a chromosome, and introduces genetic operations like conservation interval, the number of generations and non-overlapping selection. By using the probability map of the HS in HSV color space, it increases adaptability to similar color that is a property of genetic algorithm. In our experiments, the optimal value of the important parameter $\beta$ was analyzed, which was used as the condition of an ending function and affected performance of the proposed algorithm. Also the algorithm was analyzed on what performance it has when its mating methods are different. The results of the experiment showed that our algorithm could be flexibly adapted for detecting other ROIs.