• Journal of the Korea Society of Computer and Information
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• v.25 no.5
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• pp.19-26
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• 2020

This paper proposes a framework for creating acrobatic scenes such as soccer ball lifting using various users' videos. The proposed method can generate a desired result within a few seconds using a general video of user recorded with a mobile phone. The framework of this paper is largely divided into three parts. The first is to analyze the posture by receiving the user's video. To do this, the user can calculate the pose of the user by analyzing the video using a deep learning technique, and track the movement of a selected body part. The second is to analyze the movement trajectory of the selected body part and calculate the location and time of hitting the object. Finally, the trajectory of the object is generated using the analyzed hitting information. Then, a natural object lifting scenes synchronized with the input user's video can be generated. Physical-based optimization was used to generate a realistic moving object. Using the method of this paper, we can produce various augmented reality applications.

• Journal of Internet Computing and Services
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• v.22 no.2
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• pp.51-58
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• 2021

Three degrees of freedom plus(3DoF+) and six degrees of freedom(6DoF) system, which supports a user's movements in graphical and natural scene-based virtual reality, requires multiple high-quality and high-resolution videos to provide immersive media. Previous video quality assessment methods are not appropriate for the 3DoF+ and 6DoF system assessment because different types of artifacts occur in these systems which are not shown in the traditional video compression. This paper provides the performance assessments of several quality assessment methods in 3DoF+ system. Furthermore, this paper presents a super metric, which combines multiple quality assessment methods, thereby it showed a higher correlation coefficient with the subjective quality assessment than the previous methods. Experimental results on 3DoF+ immersive video showed 0.4513 gain on correlation coefficient with subjective quality assessment compared to that of peak signal-to-noise ratio(PSNR).

• Journal of the Korea Computer Graphics Society
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• v.23 no.1
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• pp.1-8
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• 2017

For popularization of virtual reality hardwares, VR sickness come from latency is huge problem. To reduce latency, most of the HMDs use cable for video transmission. However, cable causes spatial limitation that disturb user experience. For maximize user's immersion, wireless video transmission system is necessary. Unfortunately, wireless video transmission's latency is much longer than cable's latency. Prediction algorithms may reduce latency but cause jittering effect as a side effect. This paper experiment how jittering effect affects VR sickness. The result of experiment shows jittering effect make vr sickness worse. Future research about prediction algorithm should consider both prediction error and jittering effect.

• Journal of the Korean Society of Physical Medicine
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• v.11 no.1
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• pp.61-69
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• 2016

PURPOSE: This study was conducted to investigate the effect of the virtual reality training (VRT) using 3-dimensional video gaming technology on spatiotemporal gait parameters in older adults. METHODS: The study participants were divided into two groups: the VRT group and the control group. Those in the VRT group were enrolled in a VRT, which was conducted for 60 min per day, two times a week, during the 6-week research. The Wii-Fit balance board game was used for the VRT intervention. The VRT consisted of 6 different types of games, namely, jogging, swordplay, ski jump, hula hoop, tennis, and step dance. A 3-dimensional TV was used for 3-dimensional display. Participants in both the groups received 3 sessions of fall prevention education, at the first, third, and fifth weeks. Their gait parameters were measured by using OptoGait. RESULTS: After 6 weeks of the VRT, the spatial gait parameters of the participants, that is stride length and step length, were significantly improved compared with those of the control group participants (p<0.05). The temporal gait parameters, such as velocity, cadence, stride time, and step time, also showed improvement after the completion of the VRT training (p<0.05). Both the temporal and spatial gait parameters of the VRT group participants showed improvement after 6 weeks of the program compared with those of the control group participants (p<0.05). CONCLUSION: The VRT using 3-dimensional video gaming technology might be beneficial for improving gait parameters to prevent falls among older adults.

• Journal of Broadcast Engineering
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• v.4 no.2
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• pp.87-102
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• 1999

We propose an algorithm for augmenting a real video sequence with views of graphics ojbects without metric calibration of the video camera by representing the motion of the video camera in projective space. We define a virtual camera, through which views of graphics objects are generated. attached to the real camera by specifying image locations of the world coordinate system of the virtual world. The virtual camera is decomposed into calibration and motion components in order to make full use of graphics tools. The projective motion of the real camera recovered from image matches has a function of transferring the virtual camera and makes the virtual camera move according to the motion of the real camera. The virtual camera also follows the change of the internal parameters of the real camera. This paper shows theoretical and experimental results of our application of non-metric vision to augmented reality.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1998.06b
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• pp.147-153
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• 1998

This paper provides a method for video augmentation using image interpolation. In computer graphics or augmented reality, 3D information of a model object is necessary to generate 2D views of the model, which are then inserted into or overlayed on environmental views or real video frames. However, we do not require any three dimensional model but images of the model object at some locations to render views according to the motion of video camera which is calculated by an SFM algorithm using point matches under weak-perspective (scaled-orthographic) projection model. Thus, a linear view interpolation algorithm is applied rather than a 3D ray-tracing method to get a view of the model at different viewpoints from model views. In order to get novel views in a way that agrees with the camera motion the camera coordinate system is embedded into model coordinate system at initialization time on the basis of 3D information recovered from video images and model views, respectively. During the sequence, motion parameters from video frames are used to compute interpolation parameters, and rendered model views are overlayed on corresponding video frames. Experimental results for real video frames and model views are given. Finally, discussion on the limitations of the method and subjects for future research are provided.

• Journal of Korea Game Society
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• v.11 no.5
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• pp.67-78
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• 2011

This paper introduces an efficient and satisfactory search interface that enables users to browse and find the video data they want from a massively huge video database widely used in various multimedia environment. The target user group is information analysts at US defense industry or governmental intelligence agencies whose job is to identify a certain person from a lot of video footage taken from CCTV(Closed-circuit Television) cameras. For the first user test, we suggested the CAVE-like virtual reality interface to be the most optimal for the tasks we designed for, so we compared this interface with desktop interface. The softwares and database developed and optimized for each task were used in this user test. For the second user test, we researched on what input devices would be most optimal for enhancing efficiency of search task in the CAVE-like virtual reality system. Especially we focused our effort on measuring the effectiveness and user satisfaction of three different types of devices that embody gestural interface input system that encourages users' ergonomic control of the interface. We also measured the time consumed for performing each task to find out the most efficient input device among the ones tested.

• Journal of the Korea Computer Graphics Society
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• v.9 no.3
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• pp.15-21
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• 2003

An algorithm is developed for augmenting a real video with virtual graphics objects without computing Euclidean information. Real motion of the camera is obtained in affine space by a direct linear method using image matches. Then, virtual camera is provided by determining the locations of four basis points in two input images as initialization process. The four pairs of 2D location and its 3D affine coordinates provide Euclidean orthographic projection camera through the whole video sequence. Our method has the capability of generating views of objects shaded by virtual light sources, because we can make use of all the functions of the graphics library written on the basis of Euclidean geometry. Our novel formulation and experimental results with real video sequences are presented.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.3
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• pp.573-578
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• 2020

Recently, as competition in the food industry intensifies, restaurants offering unusual foods are increasing. However, the information provided by the menu is limited to the ingredients and prices of the foods, which does not help the guests choose the menu. In order to solve this problem, this paper proposes a food menu guidance system using augmented reality technology. The proposed system combines augmented reality technology and video content to provide information about food on the menu as a video. Therefore, it provides more realistic and vibrant images than the existing menu board provides food information in a simple image format. In addition, the proposed system is expected to be applied to tourist attractions, museums and galleries as a new type of guidance system beyond the limitations of text and image-oriented brochures.

• Journal of Korea Spatial Information System Society
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• v.11 no.1
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• pp.63-70
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• 2009

3D GIS(Geographic Information System) processes, analyzes and presents various real-world 3D phenomena by building 3D spatial information of real-world terrain, facilities, etc., and working with visualization technique such as VR(Virtual Reality). It can be applied to such areas as urban management system, traffic information system, environment management system, disaster management system, ocean management system, etc,. In this paper, we propose video visualization technology based on 3D geographic information to provide effectively real-time information in 3D geographic information system and also present methods for establishing 3D building information data. The proposed video visualization system can provide real-time video information based on 3D geographic information by projecting real-time video stream from network video camera onto 3D geographic objects and applying texture-mapping of video frames onto terrain, facilities, etc.. In this paper, we developed sem i-automatic DBM(Digital Building Model) building technique using both aerial im age and LiDAR data for 3D Projective Texture Mapping. 3D geographic information system currently provide static visualization information and the proposed method can replace previous static visualization information with real video information. The proposed method can be used in location-based decision-making system by providing real-time visualization information, and moreover, it can be used to provide intelligent context-aware service based on geographic information.