• 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 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.

• Journal of Broadcast Engineering
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• v.19 no.6
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• pp.877-895
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• 2014

It is common sense that providing specific odor can increase the video reality when video scene has an object having specific odor. However, people still do not know how to increase video reality and emotional immersion when there is no information on specific odor in the scene. So, present study explores how we improve video reality and immersion when the scene has no concrete odor information from some objects. Especially, this research focuses on diverse previous studies about matching between odor and color and then we expect providing odor can increase video reality if the odor is well-matched with the video's color. To do this, we collected 48 odors and investigated which color was well-matched with each odor. As a result, we get 5 odors which had clearly well-matched colors and decide ill-matched colors of those 5 odors as complementary colors of well-matched colors (Experiment 1). After that, we organize 3 conditions such as coloring image and video clip with well-matched color (color-odor match condition), coloring those with ill-matched color (color-odor mismatch condition), and coloring those with achromatic color by removing color saturation (color-odor neutral condition). Under each of these three conditions, image-odor matching, increment of reality with the odor, increment of immersion with the odor, and odor preference are asked (Experiment 2; 3). The results showed that the scores of all 4 questions in color-odor match condition were higher than color-odor mismatch condition and neutral condition. These results mean that providing matching odor with the scene's color in video is very effective to increase video reality and immersion. We expect experiencing better reality and immersion with olfactory information by adding various future research.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1656-1658
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• 2012

이 논문에서는 스마트 폰에서 오디오 신호의 스펙트럼을 가시광선 스펙트럼으로 매핑하는 방법을 제안한다. 음악이 연주되고 있을때 그 음악과 어울리는 색을 비추면 뇌가 느끼는 감성은 더욱 증폭될 수 있다. 본 논문에서 제안하는 기술은 스마트폰을 통해 색을 플레이 되고 있는 음악과 매칭이다. 오디오의 신호가 가지고 있는 주파수와 파형을 색과 밝기로 매핑하여 음악에 맞춰 색을 전환 할 수 있다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.1261-1264
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• 2022

최근 본인에게 어울리는 색상을 배경으로 촬영하는 감성 증명사진이 유행하고 있다. 개인마다 퍼스널 컬러를 찾아 배경색에 적용하는 것은 시간, 비용, 인력적으로 어려움이 있으므로 자동으로 개인에 따른 배경색을 찾아서 사진을 합성하여 감성 증명사진을 제작해 주는 딥러닝 기반 시스템을 구축하였다. 본 논문에서는 Convolution Neural Network 를 기반으로 한 딥러닝 기술을 이용해 Image Matting 과 Multi-Label Classification 을 수행하여 기존 감성 증명사진들을 학습하여 모델을 구축하였으며, 해당 시스템으로 사용자에게 새로운 배경색이 적용된 감성 증명사진을 제공하는 웹 애플리케이션을 제안한다.

• The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.8 no.6
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• pp.40-49
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• 1994

본 연구의 목적은 문-스펜서 색채조화영역별로 피부색과 복장색의 배색이미지를 분석하여 피부색을 기준으로 한 복장색의 의복이미지를 파악하는 것이다. 연구결과 첫째, 피부색과 복장색의 배색은 3가지 차원의 인상으로 구성되었다(평가, 활동, 조화). 둘째, 문-스펜서의 색채조화론을 적용하여 시각적 평가의 차이를 분석한 결과 조화영역들은 비슷하게 지각됨을 알 수 있었다. 부조화영역간에는 평가차원과 활동차원이 달리 지각됨을 알 수 있다. 셋째, 샛체조화론의 적용으로 분류되는 조화영역별 배색이미지를 분석한 결과, 동일색상들의 배색은 대체로 미도가 높은 편이었다. 제2부조화색상들의 배색은 미도가 낮았다. 유사색상중 빨강색 계열의 배색은 미도가 높았으며 노랑색 계역의 배색은 미도가 낮았다. 제2부조화색 계열, 청녹색 계열의 배색은 미도가 높은 편이며 남색 계열, 보라색 계열의 배색은 대체로 미도가 높았다. 무채색 계열의 배색은 세련된, 아름다운, 사고싶은, 보기좋은, 마음에 드는, 조화된, 멋있는 피부색과 어울리는, 매력있는, 인물이 돋보이는 이미지를 가지고 있다.

• Journal of Korea Multimedia Society
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• v.10 no.10
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• pp.1240-1250
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• 2007

We introduce technique for color transformation of characters between scenes in 2D animation. As colors are perceived differently owing to light source, so character colors like clothes, skin and so on are colored differently owing to atmosphere of each scene. This paper is made an attempt to solve mathematically color assignment of characters which has been worked by hand so far. We can find a matrix for color transformation of characters by appling principle of color stimulus to our algorithm. In scenes of existing 2D animation, basic colors and colors under light source of characters are used for the matrix. And matrixes are obtained for each scenes of 2D animation. If we are known basic colors of some characters, you can derive character colors under other light source environments using the matrix. Therefore, this paper describes automatic color transformation of characters between animation scenes.

• Journal of Korea Multimedia Society
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• v.11 no.9
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• pp.1286-1295
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• 2008

Colors of 2D animation characters are generally assigned by art directors' subjective color sense. Even same characters should be colored differently according to the mood of animation scenes. In this study, we introduce the model for automatic color transformation of characters by using neural network. It can not only create automatically colors of characters which are good matched with 2D animation scenes but also reproduce art directors' subjective color sense. Specifically, this neural network model is initially made to learn the patterns of color change between basic colors of characters and colors of characters in various scene. Then if you know basic colors of some characters, you can derive colors of characters under other light source environments using the learned neural network. Subjective ratings(which is adopted to verify the proposed model) by color experts on the automatically transformed colors showed that the colors created by the model tended to be evaluated natural.

• Journal of the Korean Society of Costume
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• v.52 no.6
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• pp.15-24
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• 2002

This paper is to investigate and analyze the clothing colors fitted for personal color types and to help consumers express individual characteristics by clothing colors suitable for themselves. The comparison of sixty three clothing colors with three personal color types. and investigation and analysis of the best clothing colors of each type have led to the following results. Those belong to warm Personal Color Type don't have a variety of choices for clothing colors. so they should be careful of choosing clothing colors. They will do well to choose dark tone colors for their clothing. Those of Cold Personal color Type have a wide range of choices for clothing colors. They have an advantage of expressing themselves in various ways. Neutrals, Blue and Yellow have been found to go well with them. Those of Mixed Personal Type are advised to wear bright and pale tone colors such as Purple, Green, and Red. It will be desirable that the choice of clothing colors should conform to each personal color for the tones of clothing colors should conform to each personal color for the tones of clothing colors make difference according to personal color types.

• Science of Emotion and Sensibility
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• v.11 no.1
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• pp.1-10
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• 2008

We developed the decision support system by using the fuzzy theory. This system designs harmonious color space according to the linguistic input. This input represents the atmosphere which the user want. If the linguistic input of adjective image scale is given in the developed system, the relation between the adjective and color is supposed as fuzzy relation. The color which match with the whole atmosphere of color space is selected. The search region of harmonious color decision is controlled by the knowledge on color harmony of Moon-Spencer. Harmonious color is selected by it.