• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2006년도 하계종합학술대회
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• pp.455-456
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• 2006

This paper presents an automatic pose-normalized 3D face data acquisition method using 2D and 3D information. We propose an automatic pose-normalized 3D face acquisition method that accomplishes 3D face modeling and 3D face pose-normalization at once. The proposed method uses 2D information with AAM (Active Appearance Model) and 3D information with 3D normal vector. The 3D face modeling system consists of 2 cameras and 1 projector. In order to verify proposed pose-normalized 3D modeling method, we made an experiment for 2.5D face recognition. The experimental result shows that proposed method is robust against pose variation.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2007년도 학술대회 1부
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• pp.1037-1044
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• 2007

Metallic paint is one of the most widely used coating in automotive, cosmetic and other applications because of its well-known ability to give a product realistic look which creates widespread consumer appeal. But, this coating has complicated subsurface structure which includes pigments, flakes, and transparent clearcoat. Though various analytic reflection models are available to simulate appearance of various surfaces, it is difficult to select an appropriate reflection model with faithful parameters for simulating this coating due to the complex subsurface structure of metallic paints. This paper presents a framework for accurate modeling of metallic coating by determining an appropriate reflection model among various existing BRDF (Bidirectional Reflectance Distribution Function) models. The selection of the appropriate model is achieved by measuring BRDF of various metallic paint samples using a BRDF measuring device i.e. gonioreflectometer and fitting an existing model to the measured data. Then, this model is effectively realized by rendering metallic painted surfaces. We believe that this framework can serve as a guide for those who wants to render metallic painted surfaces accurately with analytic BRDF model without expending time on extracting BRDF data using gonioreflectometer from real metallic paint sample.

• 제어로봇시스템학회논문지
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• 제16권10호
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• pp.957-962
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• 2010

If we want to recognize the human's emotion via the facial image, first of all, we need to extract the emotional features from the facial image by using a feature extraction algorithm. And we need to classify the emotional status by using pattern classification method. The AAM (Active Appearance Model) is a well-known method that can represent a non-rigid object, such as face, facial expression. The Bayesian Network is a probability based classifier that can represent the probabilistic relationships between a set of facial features. In this paper, our approach to facial feature extraction lies in the proposed feature extraction method based on combining AAM with FACS (Facial Action Coding System) for automatically modeling and extracting the facial emotional features. To recognize the facial emotion, we use the DBNs (Dynamic Bayesian Networks) for modeling and understanding the temporal phases of facial expressions in image sequences. The result of emotion recognition can be used to rehabilitate based on biofeedback for emotional disabled.

• 대한인간공학회지
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• 제25권2호
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• pp.161-172
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• 2006

This study aims to compare and contrast the Kansei modeling methods for building a luxuriousness model that people feel about appearance of mobile phones. For the evaluation based on Kansei engineering approaches, 15 participants were employed to evaluate 18 mobile phones using a questionnaire. The results of evaluation were analyzed to build luxuriousness models through quantification I method, neural network, and decision tree method, respectively. The performance of Kansei modeling methods was compared and contrasted in terms of accuracy and predictability. The result of comparison of modeling methods indicated that model accuracy and predictability was closely related to the number of variables and data size. It was also revealed that quantification I method was the best in terms of model accuracy while decision tree method was the best modeling method with small variance in terms of predictability. However, it was empirically found that quantification I method showed extremely unstable predictability with small number of data. Consequently, it is expected that the research findings of this study might be utilized as a guideline for selecting proper Kansei modeling method.

• 한국CDE학회논문집
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• 제14권5호
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• pp.330-337
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• 2009

Nowadays a lot of high-tech electronic products such as TVs, monitors and camcorders are being developed. The more functions the electronic devices have, the more heat problems occur. Therefore, most of electronic products have air-ventilation holes to eliminate heat that is generated inside the products. The shapes of ventilation holes are usually complicated since aesthetic appearance of the products is important these days. In order to create those complicated shapes, designers should do time-consuming jobs because most of commercial CAD systems do not provide the functions that create patterns of lofted parts along freeform surfaces. In this research, an automated air-ventilation hole modeling system was proposed. The system generates patterns of lofted objects on freeform surfaces. Standard process to create air-ventilation holes manually was established, and vent-hole types and pattern types were classified into several categories. Designers can create many kinds of vent-holes by combining vent-hole types and pattern types. Users can also utilize user-defined pattern which can give users more flexibility. Developed system was applied to several design examples and the results are presented.

• 한국멀티미디어학회논문지
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• 제22권1호
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• pp.99-109
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• 2019

Realistic rendering of natural phenomena is a difficult problem. Many environmental factors must be considered to simulate this phenomenon. At the same time, we need to think about their computational complexity to be simulated with computer algorithm One of the most difficult problems in creating weather conditions is the rain. To simulate realistic rainy scene, you have to consider the physical properties of rain and the environmental where the rain is falling down as well. In this paper, we survey the modeling and rendering techniques for realistic rainfall scenes from three different aspects. First, we list up techniques for modeling raindrop dynamics. Second, we survey the rendering techniques that render the raindrop in the environment. Third, we take a look at the hybrid methods that combines the rendering the modeling at the same time. For each aspect, we compare the algorithms in terms of implementation and their speciality.

• 한국산업융합학회 논문집
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• 제26권6_1호
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• pp.977-983
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• 2023

The tank uses a twin turbo diesel engine equipped with two turbocharger systems for high output. The main component of the turbocharger system is the turbine housing through which the exhaust flows. Turbine housing is manufactured through a sand casting process, taking into account the shape and material characteristics according to the environmental conditions in which it is used. Currently, turbine housing is imported, and local production is necessary. In this study, basic research was conducted to localize the turbine housing of a tank diesel turbo engine. Reverse engineering and finite element analysis of the imported turbine housing were performed. The prototype of the turbine housing was printed using FDM and PBF 3D printers. The prototype of the turbine housing printed with an FDM 3D printer has an overall appearance similar to 3D modeling, but the printed surface of the whorl part is rough. The prototype printed with the PBF 3D printer is completely identical to the 3D modeling, including the whorl part.

• 한국의류학회지
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• 제40권4호
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• pp.701-715
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• 2016

This research compared 3 types of jacket pattern design methods for men's wear (age range 25-35) in textbooks. We are to develop research pattern with problem solving based on an analysis of three jacket patterns. The comparative analysis revealed that loose-silhouette slopers A and B scored high in functional evaluation and low in appearance evaluation. However, the tight-silhouette slim-line sloper C received high points in appearance evaluation, but low scores in functional evaluation. All three slopers were evaluated low in the back appearance. The design characteristics of the development jacket sloper were: front width, ($1/10chest{\times}2$)+0.8cm; side width, 1/10 chest+5.5cm; back width, ($1/10chest{\times}2$)+1.5cm; armscye depth, 1/8 chest+11cm; waist back length, 1/2 jacket length+5cm; and hip length, 1/2 (jacket length-waist length)+1cm. The proportions against jacket length were applied to waist length, hip length, and the position of chest/waist pockets. In addition, the back part with low appearance estimation was adjusted as comfortable with the back curve line. Appearance evaluation and 3D clothes modeling system (CLO) showed an overall improvement in the developed jacket sloper when compared to the original jacket slopers.

• Human Ecology Research
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• 제57권3호
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• pp.407-417
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• 2019

This study examined the longitudinal effects of appearance satisfaction and Korean language skills on the self-esteem and school adjustment of multicultural adolescents. The study used data from 1,151 multicultural adolescents from the $3^{rd}$, $4^{th}$, and $5^{th}$ waves of the Multicultural Adolescents Panel Study (MAPS). Data were analyzed by means of descriptive statistics, Cronbach's alpha, correlation, and structural equation modeling. The results are as follows. First, appearance satisfaction and Korean language skills at grade 6 significantly predicted higher self-esteem at grade 7. Second, there was a significant influence of high levels of self-esteem at grade 7 on positive school adjustment of grade 8. Last, the self-esteem at grade 7 had a significant mediating effect in the relationship between appearance satisfaction and Korean language skills at grade 6 and school adjustment at grade 8. The results of this study highlighted the importance of self-esteem as a mediating factor in the connection between appearance satisfaction and Korean language skills as well as the level of school adjustment. This provides supporting evidence to many educators and parents for the implementation of effective support practices for multicultural adolescents to enhance their school adjustment. Other related implications of these findings and suggestions for future research are also discussed.

• 복식문화연구
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• 제30권4호
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• pp.563-578
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• 2022

Society's emphasis on a thin body ideal may intensify an individual's negative perceptions of fatness. The purpose of the present study was to examine the relationship between sociocultural attitudes toward appearance (awareness and internalization of the female ideal) and anti-fat attitudes among middle-aged Korean women. In addition, the aim was to examine whether the body internalization of female ideals was a mediator in the proposed model. Participants included a sample of 264 middle-aged Korean women who completed a series of measures online. The following information was collected through online questionnaires: awareness and internalization of the female ideal, attitudes toward fat, body weight perception, and demographics. Data were analyzed using correlation analysis, descriptive analysis, factor analysis, and structural equation modeling. The measurement model and the structural model testing provided an acceptable fit to the data, and all proposed pathways in the research model were statistically significant. Awareness of the female ideal was significantly and positively associated with internalization, and it significantly and positively predicted both constructs of anti-fat attitudes. Additionally, awareness of the female ideal was significantly and positively indirectly associated with attitudes toward fat people-dislike and willpower mediated by internalization. Overall, these findings suggest that society's emphasis on female appearance and a thin body can ultimately result in significant stigmatization of overweight/obese individuals. This study emphasizes the importance of establishing a healthy appearance standard to reduce anti-fat prejudice.