• Cartoon and Animation Studies
• /
• s.39
• /
• pp.393-412
• /
• 2015

See and feel the emotion recognition is the image of a person variously changed according to the environment, personal disposition. Thus, the image recognition has been focused on the emotional sensibilities computer you want to control the number studies. However, existing emotional computing model is numbered and the objective is clearly insufficient measurement conditions. Thus, through quantifiable image Emotion Recognition and emotion computing, is a study of the situation requires an objective assessment scheme. In this paper, the sensitivity was represented by numbered sizes quantified according to the image recognition calculation emotion. So apply the principal attributes of the color image emotion recognition as a configuration parameter. In addition, in calculating the color sensitivity by applying a digital computing focused research. Image color emotion computing research approach is the color of emotion attribute, brightness, and saturation reflects the weighted according to importance to the emotional scores. And free-degree by applying the sensitivity point to the image sensitivity formula (X), the tone (Y-axis) is calculated as a number system. There pleasure degree (X-axis), the tension and position the position of the image point that the sensitivity of the emotional coordinate crossing (Y-axis). Image color coordinates by applying the core emotional effect of Russell (Core Affect) is based on the 16 main representatives emotion. Thus, the image recognition sensitivity and compares the number size. Depending on the magnitude of the sensitivity scores demonstrate this sensitivity must change. Compare the way the images are divided up the top five of emotion recognition emotion emotions associated with 16 representatives, and representatives analyzed the concentrated emotion sizes. Future studies are needed emotional computing method of calculation to be more similar sensibility and human emotion recognition.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.42 no.5 s.305
• /
• pp.103-114
• /
• 2005

This paper presents a content-based image retrieval (CBIR) method using the combination of color and texture features. As a color feature, a color autocorrelogram is chosen which is extracted from the hue and saturation components of a color image. As a texture feature, BDIP(block difference of inverse probabilities) and BVLC(block variation of local correlation coefficients) are chosen which are extracted from the value component. When the features are extracted, the color autocorrelogram and the BVLC are simplified in consideration of their calculation complexity. After the feature extraction, vector components of these features are efficiently quantized in consideration of their storage space. Experiments for Corel and VisTex DBs show that the proposed retrieval method yields 9.5% maximum precision gain over the method using only the color autucorrelogram and 4.0% over the BDIP-BVLC. Also, the proposed method yields 12.6%, 14.6%, and 27.9% maximum precision gains over the methods using wavelet moments, CSD, and color histogram, respectively.

• Journal of KIISE:Computer Systems and Theory
• /
• v.30 no.3_4
• /
• pp.205-212
• /
• 2003

In this paper, we propose a simple and efficient hardware-supported antialiasing algorithm and its rendering scheme. The proposed method can efficiently reduce the required memory bandwidth as well as memory size compared to a conventional supersampling when rendering 3D models. In addition, it can provide almost the same high quality scenes as supersampling does. In this paper, we have introduced the RUF (Recently Used Fragment) buffer that stores some or whole parts of a fragment or two more the merged results of fragments that recently used in color calculation. We have also proposed a color calculation algorithm to deteriorate the image quality as referencing the RUF buffer. Because of the efficiency presented in the proposed algorithm, the more number of sampling points increases the more memory saving ratio we can gain relative to the conventional supersampling. In our simulation, the proposed method can reduce the amount of memory size by 31% and the memory bandwidth by 11% with a moderate pixel color difference of 1.3% compared to supersampling for 8 sparse sampling points.

• Fashion & Textile Research Journal
• /
• v.4 no.4
• /
• pp.369-375
• /
• 2002

The present study attempts to examine the degree of recognition of the Personal Colors by the age of the woman, and to analyze the influence of the recognition on the factors for choosing specific colors for hair coloring and facial make-up and the consequent satisfaction. The data will be used as a basic material for research and marketing in the field of color consulting in the beauty industry. Collected data were statistically processed using the SPSS WIN program. Depending on the nature of the contents to be analyzed, either the percentage calculation or the Chi-square analysis or the ANOVA was carried out. The findings of the study are as follows; The overall recognition of the Personal Colors was generally low in terms of the knowledge, information and experiences. While the degree of recognition was the highest in teenagers, the necessity of diagnosing the Personal Colors was most deeply perceived by the women in their 30s. One of the factors for choosing a specific color for hair coloring was their favorite color for the teenagers, and the Personal Color or the advice of the professional for the women in their 30s. Meanwhile, the highest factor for those in their 20s was the colors in vogue. For the facial color make-up as well, this sensitivity to popular colors was also highest in the twenty-something women. The color choice in consideration of favorite colors and the Personal Colors was the most prominent in the teenagers. The tendency of utilizing the advice of sales people or the professionals was the highest in the women in their 30s. In the survey of satisfaction with the chosen colors for hair coloring and make-up, it was found that satisfaction was the highest in the cases of choosing the Personal Colors in all the age groups, while it was the lowest for the choice of popular colors.

• Publications of The Korean Astronomical Society
• /
• v.21 no.2
• /
• pp.27-33
• /
• 2006

Infrared color-color diagram of 10 giant molecular clouds are examined to explore the dust property from the COBE Diffuse Infrared Background Experiment of the 100, 140, and $240{\mu}m$ emission. Four of them, Taurus, Mon OB1, Gem OB1, and Chameleon, show the anti-correlation in $R_{100/140}-R_{140/240}$ plot and the horizontal distribution in $R_{100/240}-R_{140/240}$ plot, which disagree with those of theoretical calculation. These could be explained by the depletion of $100{\mu}m$ and the excess of $140{\mu}m$ emission, though no existing dust model could support them. Mean color temperature of the anti-correlation region appears to be lower than that of the linear region, whose temperatures are 15.3, 17.0 K, respectively. And the linear region shows large dispersion in the plot of intensity relation. Both imply that a star formation would be more active, but not homogeneous, in the linear region compared to the anti-correlation region.

• The Journal of the Korea Contents Association
• /
• v.15 no.11
• /
• pp.1-9
• /
• 2015

Emotion recognition and regular controls are concentrated interest in computer studies to emotional changes. Thus, the quantified by objective assessment methods are essential for application of color sensibility computing situations. In this paper, it is applied to a digital color image emotion emotional computing calculations numbered recognized as one representation. Emotional computing research approach consists of a color attribute to the image recognition focused sensibility and emotional attributes of color is the color, brightness and saturation separated by. Computes the sensitivity weighted according to the score and the percentage increase or decrease in the sensitivity property tone applied to emotional expression. Sensitivity calculation is free-degree (X), and calculates the tension (Y-axis). And free-level (X-axis) coordinate of emotion, which is located the intersection of the tension (Y-axis) as a sensitivity point. The emotional effect of the Russell coordinates are utilizing the core (Core Affect). Tue numbers represent the size and sensitivity in the emotional relationship between emotional point location and quantified by computing the color sensibility.

• The Journal of the Korea Contents Association
• /
• v.11 no.5
• /
• pp.125-137
• /
• 2011

Recently the research on the system using images taken from camera phones as input is actively conducted. This paper proposed a system that shows wine pictures which are similar to the input wine label in order. For the calculation of the similarity of images, the representative color of each cell of the image, the recognized text color, background color and distribution of feature points are used as the features. In order to calculate the difference of the colors, RGB is converted into CIE-Lab and the feature points are extracted by using Harris Corner Detection Algorithm. The weights of representative color of each cell of image, text color and background color are applied. The image similarity is calculated by normalizing the difference of color similarity and distribution of feature points. After calculating the similarity between the input image and the images in the database, the images in Database are shown in the descent order of the similarity so that the effort of users to search for similar wine labels again from the searched result is reduced.

• Proceedings of the Korea Concrete Institute Conference
• /
• 2001.11a
• /
• pp.815-820
• /
• 2001

This study is to set a new standard for using of the colorimetric method through grasping the character of the colorimetric method, and measuring the chloride concentration at the place of the change of color. Also, to predict chloride concentration around rebar and time reaching limit chloride concentration through measuring the chloride concentration of concrete surface by the colorimetric method and this study presents the new program of concrete degradation and diagnosis of the durability by salt damage. First the use of the colorimetric method was examinated, second the chloride concentration through slicing concrete submerged in artificial seawater for 6 months was measured. And the chloride concentration at the place of the change of color was calculated by using colorimetric method. Finally, the cloride concentration of the concrete surface was calculated.

• International Journal of Contents
• /
• v.9 no.4
• /
• pp.16-21
• /
• 2013

Vision system is an indispensable part of constructing the chess-playing robot. Chessboard detection and pieces localization in the captured image of robot's camera are important steps for processes followed such as pieces recognition, move calculation, and robot controlling. We present a method for detecting the Janggi chessboard and pieces based on the edge and color feature. Hough transform combined with line extraction is used for segmenting the chessboard and warping it to form the rectangle shape in order to detect and interpolate the lines of chessboard. Then we detect the existence of pieces and their side by applying the saliency map and checking the color distribution at piece locations. While other methods either work only with the empty chessboard or do not care about the piece existence, our method could detect sufficiently side and position of pieces as well as lines of the chessboard even if the occlusion happens.

• Proceedings of the KOSOMBE Conference
• /
• v.1997 no.11
• /
• pp.197-200
• /
• 1997

In this paper, we present a 3D reconstruction method of color volume data or a computerized human atlas. Binary volume rendering which takes the advantages of shear-warp factorization and new normal vector calculation method visualizes 3D organs in real time. Various manipulations such as rotation, multiple object rendering, removal, and transparency effect improve the usefulness and comprehensiveness of the computerized atlas.