• Journal of Digital Convergence
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• v.15 no.12
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• pp.543-548
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• 2017

$360^{\circ}$panoramic image can give people an unprecedented visual experience, and there are many different ways to make a $360^{\circ}$panoramic image. In this paper, we will introduce two easy and effective methods from those many ways. The first one is through 48 photos to make a $360^{\circ}$panoramic image, the second way is through 6 photos to make a $360^{\circ}$panoramic image. We will compare those methods and tell the audience which one suits themselves. Through those easy design methods introduced above, we can see VR works design became easy and popular, normal people can also make $360^{\circ}$panoramic image, and it promotes the industry of VR image contents.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2019.11a
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• pp.73-75
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• 2019

360°VR 영상은 카메라에서 촬영된 여러 영상들을 이어 붙이는 작업인 스티칭(Stitching)을 통하여 만들 수 있다. 스티칭은 영상들을 이어 붙이기 위해 각 영상의 특징점을 추출하는 특징점 추출, 특징점간 유사도를 비교하여 유사한 특징점끼리 매칭시키는 특징점 매칭, 특징점 매칭 과정에서 획득한 호모그래피 매트릭스를 이용한 이미지 와핑, 각 영상 간의 부자연스러운 경계선을 제거하는 블렌딩 과정을 거친다. 고품질의 360°VR 영상을 획득하기 위해서는 영상의 개수를 증가시킬 필요가 있고, 이로 인해 스티칭 과정에서 소요되는 시간이 증가한다. 본 논문에서는 카메라 센서 정보를 이용해 유사한 영상끼리 클러스터링하여, 한번에 스티칭이 진행되는 영상의 수를 감소시키고, 멀티 스레드를 이용하여 각 그룹의 스티칭을 병렬적으로 진행한 뒤, 최종적으로 스티칭하여 최종 360°VR 영상을 획득하는 과정을 제안한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.11a
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• pp.51-52
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• 2016

최근 360 및 VR(Virtual Reality) 영상의 구성 및 전송을 위해 Facebook이 기존 메르카토르도법을 사용하는 것 대신 "Transform"의 방법을 제시하여 큐브 및 피라미드 형태로의 이미지 전송하는 방식을 발표했다. 본 논문은 이 변형기법을 기반으로, 6개의 카메라로 360VR영상을 촬영할 경우 "Transform"이 가지는 큐브 형태를 이용 기존보다 효과적이고 가벼워 실시간 스트리밍에 적합한 360VR이미지 변형법을 제안한다.

• Trans-
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• v.10
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• pp.73-113
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• 2021

Previous studies show that VR images can influence consumers' attitudes and behaviors by evoking imagination. In this study, we introduce a reality-based closed-loop 3D image (hereafter Virtualgraph). Then we try to see whether such image would increase evocativeness in a mobile commerce environment and whether higher telepresence of the visual image of a product can increase the purchase intention of that product. In order to find the above, we developed a model comprised of constructs containing telepresence, perceived value price, perceived food quality, and vividness of visual imagery questionnaire (VVIQ). We used Virtualgraph application to conduct an experiment, and then conducted an interview as well as a survey. As results of the experiment, survey and interview, we found the followings. First, users evoke imagination better with Virtualgraph than with still images. Second, increased evocativeness affects purchase intention if the perceived quality of fresh food product is satif actory. Third, increased evocativeness makes users value products higher and do even much higher when the perceived quality of fresh food product is good. From the interview, we could find that the experimental group had higher purchase intentions and perceived products as more expensive ones. Also, they perceived images of products clearer and more vivid than did the control group. We also discuss the strategic implications of using Virtualgraph in mobile shopping malls.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2017.11a
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• pp.200-201
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• 2017

본 논문은 파노라마 이미지로 구현된 VR Scene들을 연결해 더욱 실감 나는 가상현실 환경을 제공하는 방법을 제안한다. 특히 게임 개발 엔진인 "유니티" 안에서 자율적으로 시점, 공간이동이 가능한 캐릭터를 통해 사용자가 가상현실 환경에 더욱 몰입할 수 있게 VR 프로그램을 구현하였다. 사용자가 실제와 흡사한 가상 환경 속에서 자율적으로 움직일 수 있는 콘텐츠는 VR 시장에서 난제이자 꼭 해결해야 할 Killer contents로 여겨지고 있다. 따라서 본 논문에서 제안하는 내용은 실제 이미지로 구현된 VR 환경에서 컨트롤러를 통해 자율적으로 시점, 공간 이동을 할 수 있으므로 VR 산업에서 주요 관심사로 주목될 것으로 예상한다.

• Journal of Korea Multimedia Society
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• v.13 no.4
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• pp.601-608
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• 2010

This investigation proposes a new method to overcome disadvantages of panorama VR that is oriented toward spacial information and Object VR that is oriented toward object itself and consequently to make 3D virtual reality (VR) contents efficiently by using image based approach. 3D VR contents provide satisfactory qualities to users but 3D modeling is complex and elaborative and requires high cost. So, this paper aims at reducing tremendous efforts for making 3D VR by substituting 3D modeling with 'advanced Billboard'(we call it Smart Billboard). Smart Billboard has a mechanism for selecting an adequate mapping image that is observable at each user viewpoint and carry on texture mapping into the Billboard. And it is validated with the practical embodiments of a virtual museum in which the exhibitions are prepared by Smart Billboard.

• Journal of the Korea Convergence Society
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• v.9 no.7
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• pp.193-198
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• 2018

Applying VR technology to animation areas is emerging as a trend of recent years. So if you use this VR technology in traditional ink animation, 2D art piece is expected to be equipped with a new narrative style and visual and auditory language, making it a new animation genre. There's a lot of technical difficulties in putting the existing 2D ink image on a 360 degree display. VR ink animation has been created that gives depth to VR space by using layer extraction method based on depth of distance and placing layers extracted on curved surface that is aligned with depth in 360-degree space in the image of ink painting, which is the background of traditional ink animation. In the text, we took an overview on problems generated in extracting layers of distant view, close-range view and middle distant view from the existing image of ink painting and made suggestions of an effective way to approach them.

• Science of Emotion and Sensibility
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• v.23 no.2
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• pp.75-88
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• 2020

Given the development of information technology, various methods for efficient information delivery have been constructed as the method of delivering product information moves from offline and 2D to online and 3D. These attempts not only are about delivering product information in an online space where no real product exists but also play a crucial role in diversifying and revitalizing online shopping by providing virtual experiences to consumers. 360 product image is a photorealistic VR that allows a subject to be rotated and photographed to view objects in three dimensions. 360 product image has also attracted considerable attention considering that it can deliver richer information about an object compared with the existing still image photography. 360 product image is influenced by divergent production factors, and accordingly, a difference emerges in the responses of users. However, as the history of technology is short, related research is also insufficient. Therefore, this study aimed to grasp the responses of users, which vary depending on the type of products and the number of source images in the 360 product image process. To this end, a representative product among the product groups that can be frequently found in online shopping malls was selected to produce a 360 product image and experiment with 75 users. The emotional responses to the 360 product image were analyzed through an experimental questionnaire to which the semantic classification method was applied. The results of this study could be used as basic data to understand and grasp the sensitivity of consumers to 360 product image.

• Journal of Broadcast Engineering
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• v.27 no.1
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• pp.20-30
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• 2022

Recently, as VR (Virtual Reality) technology has been in the spotlight, 360° panoramic images that can view lively VR contents are attracting a lot of attention. Image stitching technology is a major technology for producing 360° panorama images, and many studies are being actively conducted. Typical stitching algorithms are based on feature point-based image stitching. However, conventional feature point-based image stitching methods have a problem that stitching results are intensely affected by feature points. To solve this problem, deep learning-based image stitching technologies have recently been studied, but there are still many problems when there are few overlapping areas between images or large parallax. In addition, there is a limit to complete supervised learning because labeled ground-truth panorama images cannot be obtained in a real environment. Therefore, we produced three fisheye images with different camera centers and corresponding ground truth image through carla simulator that is widely used in the autonomous driving field. We propose image stitching model that creates a 360° panorama image with the produced fisheye image. The final experimental results are virtual datasets configured similar to the actual environment, verifying stitching results that are strong against various environments and large parallax.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.481-483
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• 2022

This study was based on 360-degree VR images, the next-generation media representative. Among the elderly living in nursing homes with low cognitive ability, we would like to study ways to effectively search maps using 2D images when searching maps directly through user scenarios.