• 제어로봇시스템학회:학술대회논문집
• /
• 2001.10a
• /
• pp.42.1-42
• /
• 2001

This paper presents a fuzzy-based method for classification skin color object in a complex background under varying illumination. Parameters of fuzzy rule base are generated using a genetic algorithm(GA). The color model is used in the YCbCr color space. We propose a unique fuzzy system in order to accommodate varying background color and illumination condition. This fuzzy system approach to skin color classification is discussed along with an overview of YCbCr color space.

• Journal of Korea Multimedia Society
• /
• v.4 no.5
• /
• pp.396-405
• /
• 2001

Usually it is difficult to extract facial regions in a complex image by using only a predetermined skin color. Expecially, it is more difficult to separate them from background regions that contains the skin color. This paper proposes a face detection method by using gradual range expansion of an initial skin color. By analyzing the skin color distribution several images that are collected in the Web, the range of dense distribution is selected as the range of the initial skin color. In each expanding step, expanded regions in the image are tested whether they can be actual facial regions by using the information of the shape of general face and the location of face organs. The shape of general face is modeled as an ellipse and the aspect ratio of its bounding box is used to define the shape constraint for faces. Only the eyes and lips are used as the face organs, which can be easily detected by extracting horizontal edges in the expanded regions. through several experiments, it is confirmed that the proposed method can detect exactly not only faces having partly distorted regions by highlight but also faces neighboring similar color regions.

• The Research Journal of the Costume Culture
• /
• v.19 no.5
• /
• pp.889-902
• /
• 2011

The purposes of this study were to identify point makeup purchasing and using behavior according to the personal color awareness. Most women considered their favorite color first when purchasing lipsticks and skin color when purchasing cheek powder or foundation. They considered makeup concept first when applying lipsticks, eye shadows, and cheek powder but skin color applying foundations and manicures. Factors of personal color awareness were preferences & utilization awareness, other's advice, and direct awareness, and were segmented into PC intermediate group, high PC group, and PC retard group. PC intermediate group were in the late 20's and the early 30's, average incomes with high education, and patronized discount stores for point makeups, used fashion color as a criterion when selecting lipsticks, foundations, and manicures, apparel color when applying eye shadows, skin color when applying cheek creams, and preferred imported lipsticks and manicures. High PC group were among unmarried women in the early 20's, university students, high income households with medium level of pocket money, spent more for point makeup, and patronized department stores and internet shopping mall, used skin color or fashion color as criteria when selecting point makeup, referenced makeup concept when applying point makeup, preferred imported point makeup. PC retard group were among married women in the late 30's with low education and low income, spent less for point makeup and pocket money, and selected domestic point makeup, used their favorite color as a criterion when selecting point makeups and apparel color when applying lipsticks and cheek creams.

• The KIPS Transactions:PartB
• /
• v.10B no.6
• /
• pp.711-718
• /
• 2003

In this paper, we propose a robust face tracking algorithm. It is based on Condensation algorithm [7] and uses skin color and facial shape as the observation measure. It is hard to integrate color weight and shape weight. So we propose the method that has two separate trackers which uses skin color and facial shape as the observation measure respectively. One tracker tracks skin colored region and the other tracks facial shape. We used importance sampling technique to limit sampling region of two trackers. For skin-colored region tracker, we propose an adaptive color model to avoid the effect of illumination change. The proposed face tracker performs robustly in clutter background and in the illumination changes.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.30 no.5 s.153
• /
• pp.684-698
• /
• 2006

This study consists of the stimuli of a female model in her twenties with twenty-two different facial make-up. The subjects of this study are one thousand low hundred ninety seven purposive sampled-male and female grown-ups throughout the country. The period of the research was the December of 2004, one month, and the materials were analyzed by factor analysis, T-examination, analysis of variance, Cronbach's a, Duncan's Multiple Range Test. Here follows the result of the research. Firstly, Familiarity, Intelligence, Fitness, Charm, Tradition and Youth were came out as the result of factor analysis of make-up color image perception. Secondly, in age/lip color perception of bright skin tone, there was difference of Intelligence and Charm. In age/image make-up perception of bright skin tone, there was difference of Familiarity, Charm especially on Cool image make-up. Thirdly in habitant/lip color perception of dark skin tone, there was difference of Intelligence and Charm. In habitant/image make-up perception of bright skin tone, there was difference of Familiarity, Charm and of bright skin tone, Intelligence, Charm, Tradition and Youth. Fourthly, there were the interaction effects on the gender of perceivers and lip color and image make-up of perceivers habitant. Lastly, in preference rate, lip color was more affected by age and image make-up were more affected by perceivers habitant.

• Proceedings of the IEEK Conference
• /
• 2001.09a
• /
• pp.139-142
• /
• 2001

This paper presents a highly fast and accurate facial region extraction method by using the skin-color-reference map and motion information. First, we construct the robust skin-color-reference map and eliminate the background in image by this map. Additionally, we use the motion information for accurate and fast detection of facial region in image sequences. Then we further apply region growing in the remaining areas with the aid of proposed criteria. The simulation results show the improvement in execution time and accurate detection.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.30 no.1 s.149
• /
• pp.115-124
• /
• 2006

Natural dyes are environmentally and human compatible. But they are not various or not fast in color. The mixed dyeing have been attempted to solve these disadventages of natural dyes. The persimmon juice dyed fabrics have brown-color and good hygienic properities however low color fastness. The onion dyeing show similar brown-color and have good color fastness caused by querectin existed in onion outer skins. Mixed dyeing was carryied out on silk fabrics using persimmion juice and onion outer skin extract in this study. The mixing method were persimmon juice dyeing and then onion dyeing(P-O), onion dyeing and then persimmon juice dyeing(O-P) and dyeing in the mixture of persimmon juice and onion outer skin extract simultaneously(P+O). The mordants were none-mordent, gallic acid after-treatment and alum after-treatment. Several persimmon juice dyed fabrics were irradiated for 2 hours before onion dyeing(PU-O). The color values of dyed silk fabrics were as follows. The persimmon juice dyed silk fabric developed to yellow-red color after 2 hours of uv irradiation. Onion dyed fabrics show similar yellow-red color after dyeing without uv irradiation. The effect of alum after-treatment on color difference were highest in onion dyeing. The dyeabilities of both P-O and O-P were higher than persimmom juice dyeing and onion dyeing. The dyeabilities of P+O was lower than persimmom juice dyeing and onion dyeing. The value of color difference of alum-treated fabric was the highest. The color difference of P-O and O-P caused from 2 to 4 hours of uv-irradiation were lower than those of persimmon juice dyed fabrics. Onion skin extract could prevent the color-change of persimmon juice dyed fabrics in mixed dyeing. The color difference of PU-O was higher than the P-O.

• Proceedings of the KIEE Conference
• /
• 2005.10b
• /
• pp.186-188
• /
• 2005

Hand region detection in images is an important process in many computer vision applications. It is a process that usually starts at a pixel-level, and that involves a pre-process of color space transformation followed by a classification process. A color space transformation is assumed to increase separability between skin classes for hands and non-skin classes for other parts, to increase similarity among different skin tones, and to bring a robust performance under varying illumination conditions, without any sound reasonings. In this work, we examine if the color space transformation does bring those benefits to the problem of hand region detection on a dataset of images with different hand postures, backgrounds, people, and illuminations. Results indicate that best of the color space is the normalized RGB.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2002.11a
• /
• pp.240-243
• /
• 2002

In this paper, we propose a face region detection based on skin-color distribution and facial feature extraction algorithm in color still images. To extract face region, we transform color using general skin-color distribution. Facial features are extracted by edge transformation. This detection process reduces calculation time by a scale-down scanning from segmented region. we can detect face region in various facial Expression, skin-color deference and tilted face images.

• Journal of Korea Multimedia Society
• /
• v.17 no.7
• /
• pp.806-817
• /
• 2014

The extraction of lip region is essential to Lip Reading, which is a field of image processing to get some meaningful information by the analysis of lip movement from human face image. Many conventional methods to extract lip region are proposed. One is getting the position of lip by using geometric face structure. The other discriminates lip and skin regions by using color information only. The former is more complex than the latter, however it can analyze black and white image also. The latter is very simple compared to the former, however it is very difficult to discriminate lip and skin regions because of close similarity between these two regions. And also, the accuracy is relatively low compared to the former. Conventional analysis of color coordinate systems are mostly based on specific extraction scheme for lip regions rather than coordinate system itself. In this paper, the method for selection of effective color coordinate system and chromaticity transformation to discriminate these two lip and skin region are proposed.