• Title/Summary/Keyword: VR Image

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Compact near-eye display for firefighter's self-contained breathing apparatus

  • Ungyeon Yang
    • ETRI Journal
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    • v.45 no.6
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    • pp.1046-1055
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    • 2023
  • We introduce a display for virtual-reality (VR) fire training. Firefighters prefer to wear and operate a real breathing apparatus while experiencing full visual immersion in a VR fire space. Thus, we used a thin head-mounted display (HMD) with a light field and folded optical system, aiming to both minimize the volume for integration in front of the face into a breathing apparatus and maintain adequate visibility, including a wide viewing angle and resolution similar to that of commercial displays. We developed the optical system testing modules and prototypes of the integrated breathing apparatus. Through iterative testing, the thickness of the output optical module in front of the eyes was reduced from 50 mm to 60 mm to less than 20 mm while maintaining a viewing angle of 103°. In addition, the resolution and image quality degradation of the light field in the display was mitigated. Hence, we obtained a display with a structure consistent with the needs of firefighters in the field. In future work, we will conduct user evaluation regarding fire scene reproducibility by combining immersive VR fire training and real firefighting equipment.

Implementation of virtual reality for interactive disaster evacuation training using close-range image information (근거리 영상정보를 활용한 실감형 재난재해 대피 훈련 가상 현실 구현)

  • KIM, Du-Young;HUH, Jung-Rim;LEE, Jin-Duk;BHANG, Kon-Joon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.22 no.1
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    • pp.140-153
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    • 2019
  • Cloase-range image information from drones and ground-based camera has been frequently used in the field of disaster mitigation with 3D modeling and mapping. In addition, the utilization of virtual reality(VR) is being increased by implementing realistic 3D models with the VR technology simulating disaster circumstances in large scale. In this paper, we created a VR training program by extracting realistic 3D models from close-range images from unmanned aircraft and digital camera on hand and observed several issues occurring during the implementation and the effectiveness in the case of a VR application in training for disaster mitigation. First of all, we built up a scenario of disaster and created 3D models after image processing with the close-range imagery. The 3D models were imported into Unity, a software for creation of augmented/virtual reality, as a background for android-based mobile phones and VR environment was created with C#-based script language. The generated virtual reality includes a scenario in which the trainer moves to a safe place along the evacuation route in the event of a disaster, and it was considered that the successful training can be obtained with virtual reality. In addition, the training through the virtual reality has advantages relative to actual evacuation training in terms of cost, space and time efficiencies.

Depth Image based Egocentric 3D Hand Pose Recognition for VR Using Mobile Deep Residual Network (모바일 Deep Residual Network을 이용한 뎁스 영상 기반 1 인칭 시점 VR 손동작 인식)

  • Park, Hye Min;Park, Na Hyeon;Oh, Ji Heon;Lee, Cheol Woo;Choi, Hyoung Woo;Kim, Tae-Seong
    • Annual Conference of KIPS
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    • 2019.10a
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    • pp.1137-1140
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    • 2019
  • 가상현실(Virtual Reality, VR), 증강현실(Augmented Reality, AR), 혼합현실(Mixed Reality, MR) 분야에 유용한 인간 컴퓨터 인터페이스 기술은 필수적이다. 특히 휴먼 손동작 인식 기술은 직관적인 상호작용을 가능하게 하여, 다양한 분야에서 편리한 컨트롤러로 사용할 수 있다. 본 연구에서는 뎁스 영상 기반의 1 인칭 시점 손동작 인식을 위하여 손동작 데이터베이스 생성 시스템을 구축하여, 손동작 인식기 학습에 필요한 1 인칭(Egocentric View Point) 데이터베이스를 촬영하여 제작한다. 그리고 모바일 Head Mounted Device(HMD) VR 을 위한 뎁스 영상 기반 1 인칭 시점 손동작 인식(Hand Pose Recognition, HPR) 딥러닝 Deep Residual Network 를 구현한다. 최종적으로, 안드로이드 모바일 디바이스에 학습된 Residual Network Regressor 를 이식하고 모바일 VR 에 실시간 손동작 인식 시스템을 구동하여, 모바일 VR 상 실시간 3D 손동작 인식을 가상 물체와의 상호작용을 통하여 확인 한다.

Virtual reality education program including three-dimensional individualized liver model and education videos: A pilot case report in a patient with hepatocellular carcinoma

  • Jinsoo Rhu;Soyoung Lim;Danbee Kang;Juhee Cho;Heesuk Lee;Gyu-Seong Choi;Jong Man Kim;Jae-Won Joh
    • Annals of Hepato-Biliary-Pancreatic Surgery
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    • v.26 no.3
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    • pp.285-288
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    • 2022
  • Three-dimensional (3D) modeling of the liver can be especially useful for both the surgeon and patient to understand the actual location of the tumor and planning the resection plane. Virtual reality (VR) can enhance the understanding of 3D structures and create an environment where the user can focus on contents provided. In the present study, a VR platform was developed using Unreal Engine 4 software (Epic Games, Potomac, MD, USA). Patient's liver based on magnetic resonance image was imported as a 3D model that could distinguish liver parenchyma, vascular structure, and cancer. Preoperative education videos for patients were developed. They could be viewed inside the VR platform. To evaluate the usefulness of VR education program for patients undergoing liver resection for hepatocellular carcinoma, a randomized clinical trial evaluating the knowledge and anxiety of the patient was designed. The case presented in this report was the first experience of performing the VR education program and examining the knowledge and anxiety using questionnaires. When the knowledge score increased, the anxiety score also increased after the education program. Based on findings of this pilot case study, the timing and place where the questionnaire will be answered can be modified for formal initiation of the randomized controlled study to examine the usefulness of VR in patient education.

Development of App Contents for Information Realistic Experience based on AR (증강현실 기반의 인포메이션 실감체험을 위한 앱 콘텐츠 개발)

  • Moon, Hee Jeoung
    • Journal of Korea Multimedia Society
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    • v.23 no.11
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    • pp.1428-1434
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    • 2020
  • Virtual reality (VR) and augmented reality (AR) technologies can interact intuitively using virtual 3D images. Information signs on buildings that are frequently used by the public play a very important role in conveying information. However, the current information sign has different understanding and interpretation, and it is difficult to communicate quickly and intuitively for interaction. The purpose of this study is to increase the efficiency of information signing through information provision using mobile augmented reality. The InfoAR app not only guides you to the destination of the building, but also acts as a marker for the logo image. The logo image created based on the feature points recognizes the information of the destination. It is converted to AR through a mobile app, allowing users to easily find their destination by obtaining specific information. In addition, it presents interactions that can enlarge, reduce, move, and rotate information about virtual objects augmented through a function called AR. In the future, if user convenience and usability of the interface are added, research is conducted, and the level of completion is improved, such as using VR contents and promotions and business cards, it is expected that highly useful contents will be produced.

A Study of Selecting Sequential Viewpoint and Examining the Effectiveness of Omni-directional Angle Image Information in Grasping the Characteristics of Landscape (경관 특성 파악에 있어서의 시퀀스적 시점장 선정과 전방위 화상정보의 유효성 검증에 관한 연구)

  • Kim, Heung Man;Lee, In Hee
    • KIEAE Journal
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    • v.9 no.2
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    • pp.81-90
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    • 2009
  • Relating to grasping sequential landscape characteristics in consideration of the behavioral characteristics of the subject experiencing visual perception, this study was made on the subject of main walking line section for visitors of three treasures of Buddhist temples. Especially, as a method of obtaining data for grasping sequential visual perception landscape, the researcher employed [momentum sequential viewpoint setup] according to [the interval of pointers arbitrarily] and fisheye-lens-camera photography using the obtained omni-directional angle visual perception information. As a result, in terms of viewpoint selection, factors like approach road form, change in circulation axis, change in the ground surface level, appearance of objects, etc. were verified to make effect, and among these, approach road form and circulation axis change turned out to be the greatest influences. In addition, as a result of reviewing the effectiveness via the subjects, for the sake of qualitative evaluation of landscape components using the VR picture image obtained in the process of acquiring omni-directional angle visual perception information, a positive result over certain values was earned in terms of panoramic vision, scene reproduction, three-dimensional perspective, etc. This convinces us of the possibility to activate the qualitative evaluation of omni-directional angle picture information and the study of landscape through it henceforth.

Algorithm Development of a Visibility Monitoring Technique Using Digital Image Analysis

  • Pokhrel, Rajib;Lee, Hee-Kwan
    • Asian Journal of Atmospheric Environment
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    • v.5 no.1
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    • pp.8-20
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    • 2011
  • Atmospheric visibility is one of the indicators used to evaluate the status of air quality. Based on a conceptual definition of visibility as the maximum distance at which the outline of the selected target can be recognized, an image analysis technique is introduced here and an algorithm is developed for visibility monitoring. Although there are various measurement techniques, ranging from bulk and precise instruments to naked eye observation techniques, each has their own limitations. In this study, a series of image analysis techniques were introduced and examined for in-situ application. An imaging system was built up using a digital camera and was installed on the study sites in Incheon and Seoul separately. Visual range was also monitored by using a dual technology visibility sensor in Incheon and transmissometer in Seoul simultaneously. The Sobel mask filter was applied to detect the edge lines of objects by extracting the high frequency from the digital image. The root mean square (RMS) index of variation among the pixels in the image was substantially correlated with the visual ranges in Incheon and Seoul with correlations of $R^2$=0.88 and $R^2$=0.71, respectively. The regression line equations between the visual range and the RMS index in Incheon and Seoul were VR=$2.36e^{0.46{\times}(RMS)}$ and VR=$3.18e^{0.15{\times}(RMS)}$, respectively. It was also confirmed that the fine particles ($PM_{2.5}$) have more impacts to the impairment of visibility than coarse particles.

A Study on Effective Stitching Technique of 360° Camera Image (360° 카메라 영상의 효율적인 스티칭 기법에 관한 연구)

  • Lee, Lang-Goo;Chung, Jean-Hun
    • Journal of Digital Convergence
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    • v.16 no.2
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    • pp.335-341
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    • 2018
  • This study is a study on effective stitching technique for video recorded by using a dual-lens $360^{\circ}$ camera composed of two fisheye lenses. First of all, this study located a problem in the result of stitching by using a bundled program. And the study was carried out, focusing on looking for a stitching technique more efficient and closer to perfect by comparatively analyzing the results of stitching by using Autopano Video Pro and Autopano Giga, professional stitching program. As a result, it was shown that the problems of bundled program were horizontal and vertical distortion, exposure and color mismatch and unsmooth stitching line. And it was possible to solve the problem of the horizontal and vertical by using Automatic Horizon and Verticals Tool of Autopano Video Pro and Autopano Giga, problem of exposure and color by using Levels, Color and Edit Color Anchors and problem of stitching line by using Mask function. Based on this study, it is to be hoped that $360^{\circ}$ VR video content closer to perfect can be produced by efficient stitching technique for video recorded by using dual-lens $360^{\circ}$ camera in the future.

Trajectory Rectification of Marker using Confidence Model (신뢰도 모델을 이용한 마커 궤적 재조정)

  • Ahn, Junghyun;Jang, Mijung;Wohn, Kwangyun
    • Journal of the Korea Computer Graphics Society
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    • v.8 no.3
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    • pp.17-23
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    • 2002
  • Motion capture system is widely used nowadays in the entertainment industry like movies, computer games and broadcasting. This system consist of several high resolution and high speed CCD cameras and expensive frame grabbing hardware for image acquisition. KAIST VR laboratory focused on low cost system for a few years and have been developed a LAN based optical motion capture system. But, by using low cost system some problems like occlusion, noise and swapping of markers' trajectory can be occurred. And more labor intensive work is needed for post-processing process. In this thesis, we propose a trajectory rectification algorithm by confidence model of markers attached on actor. Confidence model is based on graph structure and consist of linkage, marker and frame confidence. To reduce the manual work in post-processing, we have to reconstruct the marker graph by maximizing the frame confidence.

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A sturdy of Motion detection using image processing from the VR (가상현실공간에서의 영상처리를 이용한 이동패턴 추적 연구)

  • Kang, Soung-Yun;Kim, Yun-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.2
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    • pp.227-230
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    • 2005
  • Virtual reality(VR) is both one of the high-technology and main paradime in leading next genaration of 21th century. It's application spectrum is various and lead to numorous revolotion as well as transition in technical aspect. These change is a good procept of it's value and influence effect in global fields of human life. In this paper, Location of specific portion of the image which it comes to receive at real-time tracking using WebCam, The method research which is the possibility of doing location tracking which is accurate

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