• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.6 no.4
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• pp.249-254
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• 2013

In the area of computer vision, face recognition is being intensively researched. It is generally known that before a face is recognized it must be localized. Skin-color information is an important feature to segment skin-color regions. To extract skin-color regions the skin-color model based on multi-layer perceptron has been proposed. Extracted regions are analyzed to emphasize ellipsoidal regions. The results from this study show good accuracy for our vehicle driver face detection system.

• The KIPS Transactions:PartB
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• v.10B no.6
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• pp.647-656
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• 2003

This paper proposes the system to generate caricature (character's face) resembling human face using extracted facial features automatically. Since this system is vector-based, the generated character's face has no size limit and constraint. So it is available to transform the shape freely and to apply various facial expressions to 2D face. Moreover, owing to the vector file's advantage, it can be used in mobile environment as small file site.

• Journal of Christian Education in Korea
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• v.66
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• pp.343-382
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• 2021

This study is a case study in which the interactive non-face-to-face classes using Edutech were applied to the Department of Christian Education. The subjects were 20 students from the Christian education department of A University located in the metropolitan area. The course was 'Instructional Methods and Educational Technology' in the first semester of 2020. In theory, I studied non-face-to-face classes and interaction, and edutech and interaction. Afterward, it designed and developed interactive non-face-to-face classes using edutech. The interactive non-face-to-face classes using edutech were developed as a process of applying Flipped-PBL based interactive edutech. In addition, Edutech was selected for active interaction according to the Flipped-PBL process to be carried out in a non-face-to-face situation. In particular, in the process of developing the problem of PBL, it was built around the situation of the church. As a result of applying the class, first, learners showed high satisfaction and interest in the class. Second, positive transference appeared in the space of learning and the space of living. Third, interactive non-face-to-face classes using Edutech have generated active interaction. In particular, interactive edutech and learning methods have become the main factors enabling active interaction. Through this, learners have improved learning efficiency, immersion, and satisfaction. Also, as an alternative to face-to-face classes, I was able to experience online classes. In other words, the satisfaction and interest of learning, and the transference of learning space, were also possible through active interactions generated through learning methods using interactive Edutech used in class. Furthermore, disabilities in the online communication(Internet) environment and learners' unfamiliarity with the online environment have been found as factors that hinder learning satisfaction and interaction. During learning, obstacles to the online communication environment hinder the utilization of interactive Edutech, preventing active interactions from occurring. This results in diminishing satisfaction and interest in learning. Therefore, we find that designing interactive non-face-to-face classes using Edutech requires sufficient learner learning and checking of the online communication(Internet) environment in advance for Edutech and learning methods. In response, this study confirmed the possibility by applying interactive non-face-to-face classes using Edutech to Christian education classes as an alternative method of education that allows active interaction and consistent transference of learning and life. Although it is a case study with limited duration and limitations of the number of people, I would like to present the possibility as an alternative Christian education method of an era where the direction of online classes should be presented as an alternative to a face-to-face class.

• Journal of the Korean Applied Science and Technology
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• v.41 no.2
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• pp.413-423
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• 2024

Sixteen male college students were divided into two groups: a face-to-face group(n=8) and a real-time non-face-to-face exercise group(n=8), engaging in 30minute sessions twice a week for a duration of 8 weeks. Body composition and physical strength were measured as dependent variables before and after the home training period. For data analysis, a two-way ANOVA with repeated measures was conducted to evaluate the effects on body composition and physical strength, considering differences in exercise methods and measurement periods. Post hoc analysis using Bonferroni correction was applied. To compare the mean difference in change between groups, the pre-post difference was calculated, and an independent t-test was performed. The statistical significance level was set at p<.05. The results showed that 8 weeks of home training led to an increase in skeletal muscle mass and improvements in muscle strength, muscular endurance, and cardiorespiratory endurance in male college students, regardless of whether they participated in face-to-face or real-time non-face-to-face exercise. Moreover, there was no significant difference in exercise effectiveness between the face-to-face and real-time non-face-to-face exercise methods. Thus, these findings suggest that real-time non-face-to-face exercise can be as effective as face-to-face exercise in enhancing skeletal muscles and physical strength in male college students. Additionally, if a real-time non-face-to-face exercise program is validated for individuals with mobility issues or the elderly, it could serve as an effective alternative for those who face challenges in participating in face-to-face exercise sessions.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.11
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• pp.465-472
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• 2022

In this paper, the style synthesis network is trained to generate style-synthesized video through the style synthesis through training Stylegan and the video synthesis network for video synthesis. In order to improve the point that the gaze or expression does not transfer stably, 3D face restoration technology is applied to control important features such as the pose, gaze, and expression of the head using 3D face information. In addition, by training the discriminators for the dynamics, mouth shape, image, and gaze of the Head2head network, it is possible to create a stable style synthesis video that maintains more probabilities and consistency. Using the FaceForensic dataset and the MetFace dataset, it was confirmed that the performance was increased by converting one video into another video while maintaining the consistent movement of the target face, and generating natural data through video synthesis using 3D face information from the source video's face.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.4
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• pp.412-417
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• 2015

Kinect sensor has two output data which are produced from red green blue (RGB) sensor and depth sensor, it is called color image and depth map, respectively. Although this device's prices are cheapest than the other devices for three-dimensional (3D) reconstruction, we need extra work for reconstruct a smooth 3D data and also have semantic meaning. It happened because the depth map, which has been produced from depth sensor usually have a coarse and empty value. Consequently, it can be make artifact and holes on the surface, when we reconstruct it to 3D directly. In this paper, we present a method for solving this problem by using implicit surface representation. The key idea for represent implicit surface is by using radial basis function (RBF) and to avoid the trivial solution that the implicit function is zero everywhere, we need to defined on-surface point and off-surface point. Based on our simulation results using captured face as an input, we can produce smooth 3D face and fill the holes on the 3D face surface, since RBF is good for interpolation and holes filling. Modified anisotropic diffusion is used to produced smoothed surface.

• Journal of Korea Multimedia Society
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• v.22 no.8
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• pp.823-831
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• 2019

In recent years, there has been developed systems such as a surveillance system and access control using a face recognition function instead of a password or an RFID chip, thereby reducing the risk of falsification. Moreover, deep learning technology has been applied to real-time face recognition technology in video, so it makes possible the development of access control system that improves the accuracy of recognition and efficiency of management. In this paper, we propose a real-time access management system based on face recognition using ResNet. The system is based on web server, which make it possible to manage the access by recognizing the person of the image through the camera and access information stored in the database. It can be accessed by a user application to receive various information. The implemented system identifies a person in real time and allows access control by accurately distinguishing whether they are members or not, and the test results can recognize in 0.2 seconds. The accuracy of recognition rate is up to about 97% depending on the experiment environment. With this system, access can be managed quickly and effectively, even many people rush to it.

• Journal of Korea Entertainment Industry Association
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• v.15 no.4
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• pp.267-277
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• 2021

Both teachers and learners should participate in non-face-to-face class due to COVID-19. The non-face-to-face class has brought about many problems, where they made adequate preparations for such abrupt situation. This study attempted to understand and improve problems occurring during non-face-to-face midi class. The findings are as follows: First, there were differences in equipment available to contact and non-face-to-face class. Such a problem could be improved by using Reaper, DAW which can be installed and freely utilized without any functional limits, regardless of the types of operating systems. Second, latency could not be reduced, when the screen share function of Zoom was used, since it was impossible to select audio interface's drivers in DAW. This problem was improved by again receiving audio output as input and sending it, from the perspectives of teachers. In addition, learners who used the operating system of Windows and have no audio interfaces usually suffer from latency during practices. The latency can be reduced by installing Asio4all. Third, image degradation and screen disconnection phenomena occurred due to the lack of resource. Two computers were connected by using a capture board and the screen disconnection phenomena could be improved by distributing resources and maintaining high-resolution. The system for allowing non-face-to-face midi class could be successfully established, as one more computer was connected by using Vienna Ensemble Pro and more plug-ins were used by securing additional resources. Consequently, the problems of non-face-to-face midi class could be understood and improved.

• Journal of Korea Entertainment Industry Association
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• v.15 no.8
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• pp.279-290
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• 2021

As the university's academic management was not carried out smoothly due to COVID-19, and most of them were conducted as non-face-to-face classes, students' dropout is steadily increasing. In this study focus group interviews were conducted to analyze physics students and professors' recognition of the COVID-19 non-face-to-face class environment. Based on the results, the implications of non-face-to-face classes for physics education were presented. Physics students described their feelings about un-tact teaching as 'the class in which the body is comfortable but the mind is uncomfortable', 'a person who is smarter than me seems to explain a book, reading it' and 'a short clip lecture which may be comfortable but cause losses to me', while the professors also described them as 'a fully transformed class system' and 'a online class putting much burden on me'. Regarding school dropout, students said that the concerns about dropout during non-face-to-face classes were deepened about transfer or transfer. The professors said that the department atmosphere had lost vitality due to the increase in non-face-to-face classes and academic dropouts, and had a lot of worries because of the recruitment rate and external university evaluation. The implications of the COVID-19 non-face-to-face class situation for physics education suggest that it is required to strengthen the interaction between professors and students, finding ways to enhance the sense of reality to supplement laboratory classes and giving opportunities to professors to share their pedagogical contents knowledge in physics.

• Journal of Sasang Constitutional Medicine
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• v.18 no.2
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• pp.25-33
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• 2006

1. Objectives Recently there have been studied the trials to take out the characteristics of Sasangin's face. 3 dimensional modeling is essential to find out sasangin's face. So the studies of standard face model and face type are necessary. 2. Methods I have reviewed the researches of standard facial modeling and facial type in the inside and outside of the country. 3. Results and Conclusions The Facial Definition Parameters are a very complex set of parameters defined by MPEG-4. It has defineds set of 84 feature points and 68 Facial Animation Parameters. Face type has been researched to divide into male and female, or the westerns and the orientals, or sasangin(Taeyangin, Taeumin, Soyangin, Soeumin).