• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.617-618
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• 2011

Everyone's favorite color that exists naturally or artificially. This paper proposes that ow to find a suitable color for man. First of all, we find out about the base tone forming the color such as skin color, hair color, eye color. Next, we explained color theory of four seasons that color was divided according to skin color, hair color, eye color was diveded by spring, summer, autumn and winter seasons, and according to liking or nature. And look at the characteristics of each season's color.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.277-278
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• 2012

본 논문에서는 색상 군집화를 이용한 입술탐지 알고리즘을 제안한다. 이를 위해 이미 많이 알려져 있는 AdaBoost를 이용한 얼굴탐지를 수행한다. 탐지된 얼굴영역에 Lab 컬러시스템을 적용 시킨 후 입술픽셀의 특징에 따른 색상 마커를 사용하여 피부영역을 추출한다. 추출된 피부영역에 대하여 K-means 색상 군집화를 통해 입술영역을 추출한다. 그리고 실험을 통해 입술탐지 결과를 확인하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.06a
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• pp.311-312
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• 2011

사람은 어느 누구에게나 본인이 좋아하는 색상이 선천적으로 존재하고 후천적으로 혹은 인위적으로도 존재한다. 본 논문에서는 사람이 좋아하고 사람에게 어울리는 색상을 찾는 방법에 대하여 제시한다. 먼저, 피부, 머리카락, 눈동자의 색과 같이 색상의 기본을 이루는 톤(tone)에 대하여 알아보도록 한다. 그리고 색을 봄, 여름, 가을, 겨울의 사계절로 나누어 피부의 색, 머리카락의 색, 눈동자의 색과 자기 자신이 기호하거나 좋아하는 것과 본인의 성격에 따라서 나누어지는 사계절 색채이론을 설명한다. 또한 각 계절별 컬러의 특성도 살펴보도록 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.323-325
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• 2007

본 논문에서는 저화질 영상에서의 실시간 얼굴 검출 기법에 대하여 제안한다. 제안하는 알고리즘은 입력 영상에 대하여 서로 다른 해상도의 영상을 구성하여 에지 정보를 이용하여 후보 얼굴 영역을 검출하며, 검출된 후보 영역들과 평균 얼굴을 이용한 템플릿과의 유사도를 측정하여 얼굴 영역의 위치를 결정한다. 검출된 얼굴 영역을 이용하여 얼굴의 피부 색상을 검출하며 이를 이용하여 초기 얼굴 윤곽을 결정한다. 초기 얼굴 윤곽으로부터 윤곽선의 반지름 분포와 얼굴 모델의 윤곽선 분포를 통해 최종얼굴 영역을 검출한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.188-198
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• 2018

Since infants' skin is very weak and has poor adaptability to environment, they are vulnerable to dermatitis caused by chemicals. Organic cotton for baby wear with the same functions in inner and outer wears can be considered the most suitable fiber. Therefore, this study analyzes products and colors of Korean and U.S. baby wear brands which use organic cotton. Of the total of seven organic brands of baby wear examined in this study, three were Korean baby wear brands and four were U.S. brands. and design colors of total 331 items were examined on the web. The results of comparative analysis showed that there were more U.S. brands than Korean brands in designs by uses. Color analysis showed that Korean natural cotton color was preferred and Y, G colors are commonly used, but colors of U.S. brands featured increased variety compared with Korean brands. Therefore, the Korean infant and toddler brand using organic cotton requires more diverse designs and delicate and broad colors.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.45 no.6
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• pp.38-43
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• 2008

Skin color information is an important feature for face region detection in color images. This can detect face region using statistical skin color model who is created from skin color information. However, due to the including of different race of people's skin color points, this general statistical model is not accurate enough to detect each specific image as we expected. This paper proposes method to detect correctly face region in various color image that other complexion part is included. In this method set face candidate region applying complexion Gausian distribution based on YCbCr skin color model and applied mathematical morphology to remove noise part and part except face region in color image. And achieved correct face region detection because using Haar-like feature. This approach is capable to distinguish face region from extremely similar skin colors, such as neck skin color or am skin color. Experimental results show that our method can effectively improve face detection results.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.2
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• pp.678-687
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• 2014

Since the infants' skin is very weak and has poor adaptability to environment, they are vulnerable to dermatitis by chemicals. Organic cotton for baby wear with the same functions in inner and outer wears can be considered the most suitable fiber. Therefore, this study was to analyze products and colors of domestic and Japanese baby wear brands which use organic cotton. Of total six organic brands for baby wear, there are three domestic baby wear brands and three Japanese brands, and design colors of total 213 items were examined on the web. The results of comparative analysis showed that there were more Japanese brands than domestic brand in designs by uses. Color analysis showed that natural cotton color was preferred and YR colors are commonly used, but the colors of Japanese brands were widely distributed and those of domestic brands were relatively narrow.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.2C
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• pp.194-199
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• 2009

This paper proposes a face detection algorithm that uses geometrical information on face and hair region. This information that face adjoins hair regions can be the important one for face detection. It is also kept in images with frontal, rotated and lateral face. The face candidates are founded by the analysis of skin regions after detecting the skin and hair color regions in an image. Next, the intersected lesions between face candidates and hair's are created. Finally, the face candidates that include the subsets of these regions turn out to be face. Experimental results showed the high detection rates for frontal and lateral faces as well as faces geometrically distorted.

• The KIPS Transactions:PartB
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• v.10B no.4
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• pp.465-472
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• 2003

For an effective pre-treatment process of a face input image, it is necessary to detect each of face components, calculate the face area, and estimate the rotary angle of the face. A proposed method of this study can estimate an robust result under such renditions as some different levels of illumination, variable fate sizes, fate rotation angels, and background color similar to skin color of the face. The first step of the proposed method detects the estimated face area that can be calculated by both adapted skin color Information of the band-wide HSV color coordinate converted from RGB coordinate, and skin color Information using histogram. Using the results of the former processes, we can detect a lip area within an estimated face area. After estimating a rotary angle slope of the lip area along the X axis, the method determines the face shape based on face information. After detecting eyes in face area by matching a partial template which is made with both eyes, we can estimate Y axis rotary angle by calculating the eye´s locations in three dimensional space in the reference of the face area. As a result of the experiment on various face images, the effectuality of proposed algorithm was verified.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.6
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• pp.1101-1106
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• 2008

People who have hearing difficulties suffer from satisfactory mutual interaction with normal people because there are little chances of communicating each other. It is caused by rare communication of people who have hearing difficulties with normal people because majority of normal people can not understand sing language that is represented by gestures and is used by people who have hearing difficulties as a principal way of communication. In this paper, we propose a recognition method of finger language using FCM algorithm in order to be possible of communication of people who have hearing difficulties with normal people. In the proposed method, skin regions are extracted from images acquired by a camera using YCbCr and HSI color spaces and then locations of two hands are traced by applying 4-directional edge tracking algorithm on the extracted skin lesions. Final hand regions are extracted from the traced hand regions by noise removal using morphological information. The extracted final hand regions are classified and recognized by FCM algorithm. In the experiment using images of finger language acquired by a camera, we verified that the proposed method have the effect of extracting two hand regions and recognizing finger language.