• Journal of the Korean Society of Costume
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• v.51 no.7
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• pp.75-92
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• 2001

The purpose of this study was to investigate the grandparents' clothing image perceived by adolescents. Self-administered questionnaires were distributed and collected from 547 middle school and high school students from March to April in 2000. Frequencies, percentages, mean. and standard deviation were calculated. χ²-test, t-test, F-test, and ANOVA were used for group differences, and Duncan's multiple range test was used. The results were as follows : 1. Grandparents' clothing images were classified into four images of elegant, comfortable, fashionable and active. 2. Adolescents in middle school, in high economic status, in higher academic achievement, and who pursuited fashion perceived favorable grandparents' clothing images as more favorable. Adolescents perceived clothing images of younger grandparents with higher economic status, or grandmother as more favorable. Adolescents who had a good affection and a good-cognition to their grandparents perceived their clothing images as more favorable. Adolescents perceived their mother-side-grandparents clothing images as more favorable. 3. Grandparents were segmented into 3 groups of the fashion pursuit, the utility pursuit, and the stagnated according to their adolescents' clothing image perception. The adolescents in higher economic status, who pursuited fashion, and had a favorable cognition to their grandparents tended to perceive their grandparents as the fashion pursuit. Adolescents who had a high affection to their grandparents tended to Perceive their grandparents as the utility pursuit. Adolescents perceived their mother side grandparents as the utility pursuit.

• 한국지구물리탐사학회:학술대회논문집
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• 2007.06a
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• pp.1-6
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• 2007

Two impedance imaging systems of multi-frequency electrical impedance tomography (MFEIT) and magnetic resonance electrical impedance tomography (MREIT) are described. MFEIT utilizes boundary measurements of current-voltage data at multiple frequencies to reconstruct cross-sectional images of a complex conductivity distribution (${\sigma}+i{\omega}{\varepsilon}$) inside the human body. The inverse problem in MFEIT is ill-posed due to the nonlinearity and low sensitivity between the boundary measurement and the complex conductivity. In MFEIT, we therefore focus on time- and frequency-difference imaging with a low spatial resolution and high temporal resolution. Multi-frequency time- and frequency-difference images in the frequency range of 10 Hz to 500 kHz are presented. In MREIT, we use an MRI scanner to measure an internal distribution of induced magnetic flux density subject to an injection current. This internal information enables us to reconstruct cross-sectional images of an internal conductivity distribution with a high spatial resolution. Conductivity image of a postmortem canine brain is presented and it shows a clear contrast between gray and white matters. Clinical applications for imaging the brain, breast, thorax, abdomen, and others are briefly discussed.

• Journal of KIISE:Computer Systems and Theory
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• v.29 no.4
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• pp.185-191
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• 2002

In this paper, we propose a 3D object LOD(Level of Detail) modeling system that constructs a mesh from range images and generates the mesh of various LOD using the wavelet transform. In the initial mesh generation, we use the marching cube algorithm. We modify the original algorithm to apply it to construct the mesh from multiple range images efficiently. To get the base mesh we use the decimation algorithm which simplifies a mesh with preserving the topology Finally, when reconstructing new mesh which is similar to initial mesh we calculate the wavelet coefficients by using the wavelet transform. We solve the critical problem of wavelet-based methods - the surface crease problem (1) - by using the mesh simplification as the base mesh generation method.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.2
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• pp.214-225
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• 2000

The objective of this study was to investigate images of Korean traditional patterns. The subjects consisted of 369 male and 356 female undergraduate students. The experimental materials used in this study were 48 stimuli and questionnaires, composed of 7-point semantic differential scales of 23 bipolar adjectives. Twelve motifs selected from 3 groups of Korean patterns were used as motif stimuli. Twelve repeated patterns were constructed from them to be applied on a CAD-simulated dress. The data was analyzed by factor analysis, ANOVA, Duncan's multiple range test. The major findings were as follows: 1. Four dimensions were emerged accounting for the dimensional structure of the images of Korean traditional patterns. These dimensions were 'simplicity', 'quality', 'interest', and 'modernity' dimension. Among them, 'simplicity' and 'quality' were the major dimensions. 2. Category, interpretation type, composition type, and application object of motif had significant effects on the images of above-mentioned dimensions. The application object had a significant effect on 'simplicity' and 'modernity' image, and the composition type on 'quality' and 'interest' image.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10b
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• pp.644-646
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• 1999

본 논문은 한 물체에 대해 스캔 위치 정보가 없는 여러 시점의 레인지 이미지들로부터 3차원 형상 복원을 위한 정합 알고리즘을 제안한다. 기존의 정합 방법은 스캔 위치 정보와 기하학 정보를 이용하여 레인지 이미지들을 정렬시킨 반면, 본 논문의 정합 방법은 스캔 위치와는 독립적으로 수행되며 기하학 정보와 텍스쳐 정보를 함께 이용하여 정렬시킨다. 그러므로 텍스쳐가 있는 여러 장의 레인지 이미지들로부터 3차원 형상을 보다 정확하고 효율적으로 복원할 수 있다.

• Journal of the Korea Fashion and Costume Design Association
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• v.18 no.1
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• pp.1-10
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• 2016

The purpose of this study was to examine the influence of elderly women's makeup behavior, psychological traits and demographic variables on their preference for makeup images in daily life(hereinafter called general makeup image) and for the makeup images of their own future funeral portraits. As for the method of research, a research study was implemented by using the questionnaire method. Seven factors were selected for makeup behavior: fashionability, conformity, subjectivity, instrumentality, interpersonal orientation and conspicuousness. The selected psychological traits were personality, death attitude and depression. Preference for general makeup image and for the makeup image of funeral portrait were investigated in terms of four: agreeableness, refinement, individuality and dignity. The subjects in this study were 651 female elderly residents in and around Seoul who were in their 60s to 80s. Concerning data analysis, factor analysis, Cronbach alpha coefficient, Pearson productmoment correlation coefficient, t-test, one-way ANOVA, Duncan's multiple range test and multiple regression analysis were utilized. Concerning the influence of the elderly women's makeup behavior, personality, death attitude, depression and demographic variables on preference for the makeup image of funeral portrait, their preference for an agreeable makeup image was analyzed. Thus, makeup behavior, personality, death attitude and depression were identified as the variables to exert a significant influence on preference for the makeup images of funeral portrait. The findings of the study are expected to help make makeup for funeral portrait entrenched as a part of the beauty industry and to make a contribution to the development of the beauty industry.

• IEIE Transactions on Smart Processing and Computing
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• v.1 no.1
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• pp.8-16
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• 2012

An image obtained from a low light environment results in a low-exposure problem caused by non-ideal camera settings, i.e. aperture size and shutter speed. Of particular note, the multiple color-filter aperture (MCA) system inherently suffers from low-exposure problems and performance degradation in its image classification and registration processes due to its finite size of the apertures. In this context, this paper presents a novel method for the color enhancement of low-exposure images and its application to color shift model-based MCA system for image refocusing. Although various histogram equalization (HE) approaches have been proposed, they tend to distort the color information of the processed image due to the range limits of the histogram. The proposed color enhancement algorithm enhances the global brightness by analyzing the basic cause of the low-exposure phenomenon, and then compensates for the contrast degradation artifacts by using an adaptive histogram specification. We also apply the proposed algorithm to the preprocessing step of the refocusing technique in the MCA system to enhance the color image. The experimental results confirm that the proposed method can enhance the contrast of any low-exposure color image acquired by a conventional camera, and is suitable for commercial low-cost, high-quality imaging devices, such as consumer-grade camcorders, real-time 3D reconstruction systems, digital, and computational cameras.

• The International Journal of Costume Culture
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• v.5 no.1
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• pp.58-66
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• 2002

The objectives of this study are to develope sensibility image scales for Korean traditional motifs by quantitatively measuring their images and preference and to classify them into clusters. Data were collected via a questionnaire from seven hundred twenty five Korean undergraduate students. Re experimental materials were forty eight stimuli of Korean traditional motifs with different categories, interpretation types, composition types, and application objects. The instruments consisted of 7-point polar semantic differential scales of twenty three bipolar adjectives including preference. Data were analyzed by correspondence analysis, cluster analysis, ANOVA and Duncan's multiple range test. Re major results are as follows; image scales for textile patterns and dress designs using Korean traditional motifs were constructed. The axes of sensibility image scales for both textile patterns and dress designs were defined by quality level and degree of simplicity. Second, four clusters on the scale of textile patterns and two clusters on the scale dress designs were identified. Third, in the case of textile Patterns, the preferred cluster had high-quality and classical images, while the cluster that was not preferred had a complex image. In the case of dress designs, the preferred cluster had simple and high-quality images, while the cluster that was not preferred had complex and low-quality images.

• The Research Journal of the Costume Culture
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• v.12 no.1
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• pp.90-103
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• 2004

The purpose of the present study was to investigate images pursued and purchase behaviors for clothing as determined by self-image. Data were collected through a self-administered questionnaire survey from March 3 to March 11, 2003 from 600 female students attending universities in Seoul; 514 were used for the data analysis. Data were analyzed by chi-square analysis, t-test, ANOVA, correlation analysis, tics, cluster analysis and Duncan's multiple range test. Self image was defined six factors: social image, gay image, intellectual image, girlish image, iron nerves image, image like a man and was classified three group avail of six factor: commonness type, social brilliance type, immature boldness type. The results showed significant differences in images of actual clothing worn by self and in the clothing image pursued among the groups determined by the self image. Significant differences were also found in clothing purchase behaviors such as monthly clothing expenditure, shopping frequency, store types, and the clothing items often used for expressing self-image among the groups divided by self-image.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.280-286
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• 2022

Facial recognition system is a biometric manipulation. Its applicability is simpler, and its work range is broader than fingerprints, iris scans, signatures, etc. The system utilizes two technologies, such as face detection and recognition. This study aims to develop a facial recognition system to recognize person's faces. Facial recognition system can map facial characteristics from photos or videos and compare the information with a given facial database to find a match, which helps identify a face. The proposed system can assist in face recognition. The developed system records several images, processes recorded images, checks for any match in the database, and returns the result. The developed technology can recognize multiple faces in live recordings.