• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.790-792
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• 2004

본 논문에서는 컬러 영상에서 얼굴 구성요소 융합을 이용하여 얼굴 영역을 검출하는 방법을 제시한다. 먼저 광범위한 조명 환경과 인종을 포괄하는 피부색의 범위를 이용해 피부 영역을 검출하고. 영역 그룹화로 후보 얼굴 영역을 찾는다. 색 정보를 이용해 얼굴 구성요소(눈, 입)를 검출한 후, 검출된 구성요소와 구성요소 간의 관계를 융합하여 주어진 영상에서 얼굴 영역을 검출한다. 본 논문이 제안하는 구성요소 융합 방법은 구성요소 간의 관계에 대한 불확실성을 고려하고 있어, 구성요소간의 최적의 조합으로 얼굴의 크기와 포즈, 조명의 변화가 어느 정도 허용된 얼굴 검출이 가능하다.

• Archives of design research
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• v.16 no.4
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• pp.255-266
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• 2003

The Purpose of this study is to develop color palettes for the campus environment to find an identity of various Universities in Korea. This research is focused on the Shin-chon campus of Yonsei University because it has a long history and a mixture of old and new modern buildings in the campus. It takes three steps to proceed this study. Firstly, it is needed to find the images and history of Yonsei University from the documents. In the second place, the colors should be collected from the building materials, four seasons in campus, buildings in campus. At this point, color measurement devices, NCS color system, digital camera and other appropriate devices were used for the study. The third step shows the results of the analysis and development of color palettes based on the analyzed materials from second step. This research suggests three major color groups. The typical main colors of the campus building are YR/anchromatic with middle level of value and chroma from the analysis. The sub-colors are similar to the main colors with pale/light grayish/dull/deep tone. The color palettes out of the results could be used as a standard for campus color scheme in the future to build an identity of Yonsei University.

• Journal of the Korean Society of Costume
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• v.59 no.3
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• pp.109-130
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• 2009

This study examines the rotor characteristics of Guybang culture (women's living in Joseon) relics which the life images and mental world of women in Joseon if expressed to prepare rotor data to be utilized in modern design and information for color identity establishment of Korean women culture. The result of this study is as following: 1. From 176 pieces of relic photos, total of 1380 color chips were extracted. For color analysis, 1368 units (99.1%) of color data excluding achromatic 12 units (0.9%) among 1380 units of colors were used. With the standard of 10 color wheel of Munsell Color System, the result of studying distributions according to frequency, red was the highest by 25.9%, yellow was 21.4% in women's goods in Joseon period which the ratio of red and yellow was 473%. Other than that, GY 14.6%, YR 11.3% and RP 11.1% followed next which is studied that the warm colors that conveys enjoyable and glamorous feelings composed 84.3%; 2. As a result of tone analysis, high value low chroma ltg color showed highest distribution of 20% and d was 12.2%, b was 11.7% and sf was 8.8%. Generally, it showed high frequency in high value cocors such as ltg, sf and b of 40.5%t and in low chroma (ltg) and medium chroma (d, sf) of 41% and colors in bright and calm image was used the most. 3. As a result of analyzing relationship between hue & tone, the ltg tone of Y close to white in traditional color sensibility showed the highest frequency of 9.6% and ltg tone of GY(6.4%), b tone of RP(6.1%), and v(5.4%), b(5.4%), dp(5.3%) of R followed next. 4. As a result of analyzing the characteristics of coloring, it showed that in case of coloring contrasting hues, it is adjusted similar tones and in case of coloring less contrasting hue, the difference in tone is adjusted to be rather large to make harmonized coloring. Moreover, in case of coloring similar hues, the ratio of using same tone and similar tone was large which the coloring of calm image and dynamic image is all used.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.12
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• pp.168-175
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• 2013

Color consistency in stereoscopic contents is important for 3D display systems. Even with a stereo camera of the same model and with the same hardware settings, complex color discrepancies occur when acquiring high quality stereo images. In this paper, we propose an integrated color matching method that use cumulative histogram in global matching and estimated 3D-distance for the stage of local matching. The distance between the current pixel and the target local region is computed using depth information and the spatial distance in the 2D image plane. The 3D-distance is then used to determine the similarity between the current pixel and the target local region. The overall algorithm is described as follow; First, the cumulative histogram matching is introduced for reducing global color discrepancies. Then, the proposed local color matching is established for reducing local discrepancies. Finally, a weight-based combination of global and local matching is computed. Experimental results show the proposed algorithm has improved global and local error correction performance for stereoscopic contents with respect to other approaches.

• Journal of the Korean Institute of Landscape Architecture
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• v.44 no.6
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• pp.120-136
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• 2016

This study, views the color of scenery not as a static state, but rather as a continuous sequence of perceptions that incorporates the concept of time. This study derived techniques to quantitatively analyze the flow and data from this sequence. By utilizing this, urban color trends can be based on openness. This is very close to what would be experienced by an actual viewer: it extracted color data and visual amount from frames at 2-second intervals by shooting a video of the color sequence of the city as seen from both the left and right sides from the inside of the monorail (line 3 of the Daegu urban railway). These images were classified by color group, brightness, chroma, high chroma distribution derived techniques such as openness of space, brightness level, clarity level, high-chroma distribution and code, advantage of visual amount, dominant factor exposure, hot and cold color image and dynamic of sequence rhythm. During the derived sequence, the data determines the openness in the visual amount of sky and it was found that the tendency of the colors of the city was opening regression analysis. The more colorful the city is opening the brightness is lowered, the chroma increased slightly, cold colors significantly increased, which also had a very deep relationship with Lynch enclosed proportion, color change of the city trends through the actual scenery could grasp in more detail.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.201-207
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• 2022

In this paper, the relationship between RGB, HSV, La^*b^* colors and sugar content was analyzed using linear regression on apples harvested in the same region. First, as a result of examining the correlation coefficient with sugar content according to each color level, it was found that the (+) region having a positive coefficient and a (-) region having a negative coefficient were separated according to the color level. Also, the correlation coefficient between color and sugar content, represented by the average value, was 0.342 in the La^*b^* color space, which was higher than the coefficient in the RGB and hsv space. That is, this means that the sugar content is related to the color in the La^*b^* space. Also, in the complex color composed of regions with high sugar content, it was found to be R²=0.3627, indicating that it is related to sugar content. In all nine color spaces, it was found to be R²=0.3668. In this case, it was found that the coefficients of v and b^* had an effect on the sugar content. Due to this, it was possible to confirm the validity of the empirical prediction that the higher the b^* representing yellow, the higher the sugar content.

• Journal of the Korean Society of Floral Art and Design
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• no.42
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• pp.117-132
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• 2020

The study aimed at trying to contribute to domestic floral designers by analyzing colors' images of 60 floral designs of British floral designers, Shane Connolly and Paula Pryke, as the basis for color scheme of floral space design. The result of color analysis, Shane Connolly uses colors in the frequency of color order of the GY>Y>RP>YR>P>P>PB and Paula Pryke uses colors in the frequency of color order of the GY>RP>P>YR,Y>G>PB. The result of coordinate analysis of hue, value, chrome, Shane Connolly's works showed high frequency in the YtoGY color, the middle and high of value and the middle and high of chrome. Paula Pryke's works showed high frequency in the GY color and PtoRP color, the wide areas of the 3.8 ~9 stages of value, and the middle and high of chrome. The result of adjective image scale, Shane Connolly's works were found to be in between soft and static adjective zone, and Paula Pryke's works were distributed in between soft and active zone.

• Fashion & Textile Research Journal
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• v.6 no.1
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• pp.41-50
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• 2004

This research proposes the on-stage costumes for the play Hamlet of Shakespeare performed by Yunheedan Guhri Pae - the Street Theater Troupe. Stage costumes have an important role in displaying the characteristics of each characters to the audience and has big visual effects. However, in order to design the costumes in the object viewpoints of the audience, the survey on the images of the characters who had actually watched the performance was taken place and proposed the costume design according to the results of the survey. Hamlet a: This result was applied to propose a sweater in black color, black leather pants and vest. Hamlet b: This result was applied to propose hooded coat in purple in middle level of brightness and color spectrum and yellow coat. For free image, loose pants in blue and vest in the same color tone were proposed. Gertrude a: This result was applied to use purple (violet) with reddish tone to propose the formation of a dress applying tailored suit. Gertrude b: This result was applied to propose purple gown and the one-piece dress with black laces. Ophelia a: This result was applied to propose feminine white dress and cape in purple color tone. Ophelia b: This result was applied to propose dyed and weaved clothes. Through the surveys as above, the images of each character was driven in adjectives, and using the results driven from the brightness, coloration, and color, color images were proposed. Only one costume cannot make up for the stage costumes and because it exists as an element of stage production, it is true that costumes are limited in some areas. However, that limit can become the motive of the costume. There is a limit, which the designer cannot produce the costumes as he or she had designed but I believe it is the center of the on-stage customers to display the characteristics of the characters according to the given concept. The limit of this research is the fact that because the costumes were designed so they fit the conditions already given, thus it was difficult to regard the process of designing and producing the costume as a project done according to the interaction. And in the future, if it is possible, I wish for the joint research with the people responsible for stage art to take place as a practical stage art. It was possible to produce practical costume since they were produced for actual performance and the production of costumes considering the dance steps, line of flow, and acting, was able to reduce the trial and error on stage. Through this research, I felt that the understanding and smooth interaction on diverse other areas not limited to the costume design should be taken place and believe that this was a research that proposes new research method since there had been only a few previous research regarding the on-stage costumes for actual performances. Therefore, this research had depended on the surveys given to the audiences to endow objectivity, however, I wish this research can contribute to defining effective process and methods for the on-stage costumes with more active researches with diverse methods and in diverse areas. I am sorry that the costume production for all the characters and all the scenes in Hamlet couldn't be done due to many limitations. As the following research assignment, I am planning on designing the costumes for all the scenes.

• Korean Journal of Remote Sensing
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• v.39 no.6_2
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• pp.1651-1669
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• 2023

Sea ice currently covers approximately 7% of the world's ocean area, primarily concentrated in polar and high-altitude regions, subject to seasonal and annual variations. It is very important to analyze the area and type classification of sea ice through time series monitoring because sea ice is formed in various types on a large spatial scale, and oil and gas exploration and other marine activities are rapidly increasing. Currently, research on the type and area of sea ice is being conducted based on high-resolution satellite images and field measurement data, but there is a limit to sea ice monitoring by acquiring field measurement data. High-resolution optical satellite images can visually detect and identify types of sea ice in a wide range and can compensate for gaps in sea ice monitoring using Geostationary Ocean Color Imager-II (GOCI-II), an ocean satellite with short time resolution. This study tried to find out the possibility of utilizing sea ice monitoring by training a rule-based machine learning model based on learning data produced using high-resolution optical satellite images and performing detection on GOCI-II images. Learning materials were extracted from Liaodong Bay in the Bohai Sea from 2021 to 2022, and a Random Forest (RF) model using GOCI-II was constructed to compare qualitative and quantitative with sea ice areas obtained from existing normalized difference snow index (NDSI) based and high-resolution satellite images. Unlike NDSI index-based results, which underestimated the sea ice area, this study detected relatively detailed sea ice areas and confirmed that sea ice can be classified by type, enabling sea ice monitoring. If the accuracy of the detection model is improved through the construction of continuous learning materials and influencing factors on sea ice formation in the future, it is expected that it can be used in the field of sea ice monitoring in high-altitude ocean areas.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.6
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• pp.8-17
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• 2011

Recently, fusion camera systems that consist of depth sensors and color cameras have been widely developed with the advent of a new type of sensor, time-of-flight (TOF) depth sensor. The physical limitation of depth sensors usually generates low resolution images compared to corresponding color images. Therefore, the pre-processing module, such as camera calibration, three dimensional warping, and hole filling, is necessary to generate the high resolution depth map that is placed in the image plane of the color image. However, the result of the pre-processing step is usually inaccurate due to errors from the camera calibration and the depth measurement. Therefore, in this paper, we present a depth map upsampling method robust these errors. First, the confidence of the measured depth value is estimated by the interrelation between the color image and the pre-upsampled depth map. Then, the detailed depth map can be generated by the modified kernel regression method which exclude depth values having low confidence. Our proposed algorithm guarantees the high quality result in the presence of the camera calibration errors. Experimental comparison with other data fusion techniques shows the superiority of our proposed method.