• Journal of Internet Computing and Services
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• v.18 no.1
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• pp.43-50
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• 2017

In this paper, we are proposing improved vanishing points detection and segments labeling methods for inside wall frame detection from indoor image of a piece of having a colour RGB. A lot of research related to recognizing the frame of artificial structures from the image is being performed due to increase in demand for AR technology. But detect the inside wall frame in indoor images have many objects that caused the occlusion is still a difficult issue. Inner wall frame detection methods are usually segment labeling methods and detect vanishing point methods are used together. In order to improve the vanishing point detection method we proposed using inner wall orthogonality which forms the cube. Also we proposed labeling method using tree based learning and superpixel based segmentation method for labelingthe segments in indoor images. Finally, in experiments have shown improved results about inside wall frame detection according to our methods.

• The Journal of Korea Robotics Society
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• v.15 no.3
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• pp.293-300
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• 2020

The purpose of our sensor system is to transparentize the large hydraulic manipulators of a six-ton dual arm excavator from the operator camera view. Almost 40% of the camera view is blocked by the manipulators. In other words, the operator loses 40% of visual information which might be useful for many manipulator control scenarios such as clearing debris on a disaster site. The proposed method is based on a 3D reconstruction technology. By overlaying the camera image from front top of the cabin with the point cloud data from RGB-D (red, green, blue and depth) cameras placed at the outer side of each manipulator, the manipulator-free camera image can be obtained. Two additional algorithms are proposed to further enhance the productivity of dual arm excavators. First, a color correction algorithm is proposed to cope with the different color distribution of the RGB and RGB-D sensors used on the system. Also, the edge overlay algorithm is proposed. Although the manipulators often limit the operator's view, the visual feedback of the manipulator's configurations or states may be useful to the operator. Thus, the overlay algorithm is proposed to show the edge of the manipulators on the camera image. The experimental results show that the proposed transparentization algorithm helps the operator get information about the environment and objects around the excavator.

• Journal of IKEEE
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• v.25 no.2
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• pp.243-251
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• 2021

In this paper, we propose a measurement technique of indoor location based on markerless applicable to AR. The proposed technique has the following originality. The first is to extract feature points and use them to generate local patches to enable faster computation by learning and using only local patches that are more useful than the surroundings without learning the entire image. Second, learning is performed through deep learning using the convolution neural network structure to improve accuracy by reducing the error rate. Third, unlike the existing feature point matching technique, it enables indoor location measurement including left and right movement. Fourth, since the indoor location is newly measured every frame, errors occurring in the front side during movement are prevented from accumulating. Therefore, it has the advantage that the error between the final arrival point and the predicted indoor location does not increase even if the moving distance increases. As a result of the experiment conducted to evaluate the time required and accuracy of the measurement technique of indoor location based on markerless applicable to AR proposed in this paper, the difference between the actual indoor location and the measured indoor location is an average of 12.8cm and a maximum of 21.2cm. As measured, the indoor location measurement accuracy was better than that of the existing IEEE paper. In addition, it was determined that it was possible to measure the user's indoor location in real time by displaying the measured result at 20 frames per second.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.1149-1154
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• 2006

증강현실 (AR: Augmented Reality)은 카메라를 통하여 현실의 공간에 가상의 물체를 삽입하는 기술로 사용자에게 컴퓨터상에서 정보를 보강해 줌으로서 사용자가 카메라로 보이는 환경에 대한 추가적인 정보를 취득 할 수 있게 해주는 분야이다. 가상환경(Virtual Reality) 및 혼합영상(Mixed Reality)을 이용해 보다 사실감 있는 가상의 영상을 일상 생활에 접목하려는 기술들이 부각되며 활발한 연구가 이루어 지고 있는데 이러한 시도는 일상생활의 다양한 분야에 적용이 되고 있다. 본 논문에서는 카메라로 취득된 화면상에 사용자의 움직임, 즉 사용자가 대상되는 마커를 삽입하고 컨트롤할 수 있는 음악플레이어를 구현한다. 사용자가 키보드나 마우스 등의 입력장치가 아닌 카메라에서 보여지는 마커의 움직임으로 원하는 음악을 플레이 할 수 있는 방법을 제안하고자 한다. 실시간으로 입력되는 카메라상의 프레임에서 대상되는 마커의 움직임을 찾고 그 대상물체 위에 정보를 증강시켜주고, 그 음악을 화면상에 사용자의 마커 움직임을 통해서 제어하는 방법이다.

• Journal of the Korea Society of Computer and Information
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• v.24 no.1
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• pp.85-92
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• 2019

In this paper, we propose a efficient feature point extraction method that can solve the problem of performance degradation by introducing a preprocessing process when extracting feature points by utilizing the characteristics of 360-degree realistic media. 360-degree realistic media is composed of images produced by two or more cameras and this image combining process is accomplished by extracting feature points at the edges of each image and combining them into one image if they cover the same area. In this production process, however, the stitching process where images are combined into one piece can lead to the distortion of non-seamlessness. Since the realistic media of 4K-class image has higher resolution than that of a general image, the feature point extraction and matching process takes much more time than general media cases.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.19 no.3
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• pp.294-303
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• 2008

ISAR(Inverse Synthetic Aperture Radar) images represent the 2-D(two-dimensional) spatial distribution of RCS (Radar Cross Section) of an object, and they can be applied to the problem of target identification. A traditional approach to ISAR imaging is to use a 2-D IFFT(Inverse Fast Fourier Transform). However, the 2-D IFFT results in low resolution ISAR images especially when the measured frequency bandwidth and angular region are limited. In order to improve the resolution capability of the Fourier transform, various high-resolution spectral estimation approaches have been applied to obtain ISAR images, such as AR(Auto Regressive), MUSIC(Multiple Signal Classification) or Modified MUSIC algorithms. In this study, these high-resolution spectral estimators as well as 2-D IFFT approach are combined with a recently developed ISAR image classification algorithm, and their performances are carefully analyzed and compared in the framework of radar target recognition.

• Journal of the Korea Society of Computer and Information
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• v.24 no.1
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• pp.73-83
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• 2019

In this paper, we propose the augmented reality(AR) based driving navigation based on robust lane detection method to dynamic environment changes. The proposed technique uses the detected lane position as a marker which is a key element for enhancing driving information. We propose Symmetrical Local Threshold(SLT) algorithm which is able to robustly detect lane to dynamic illumination environment change such as shadows. In addition, by using Morphology operation and Connected Component Analysis(CCA) algorithm, it is possible to minimize noises in the image, and Region Of Interest(ROI) is defined through region division using a straight line passing through several vanishing points We also propose the augmented reality aided visualization method for Interchange(IC) and driving navigation using reference point detection based on the detected lane coordinates inside and outside the ROI. Validation experiments were carried out to assess the accuracy and robustness of the proposed system in vairous environment changes. The average accuracy of the proposed system in daytime, nighttime, rainy day, and cloudy day is 79.3% on 4600 images. The results of the proposed system for AR based IC and driving navigation were also presented. We are hopeful that the proposed research will open a new discussion on AR based driving navigation platforms, and thus, that such efforts will enrich the autonomous vehicle services in the near future.

• Journal of Korean Society of Spine Surgery
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• v.26 no.1
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• pp.26-32
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• 2019

Study Design: Review article. Objectives: To present the latest knowledge on spine surgery using augmented reality (AR). Summary of Literature Review: AR is a new technology that simulates interactions with real-world surroundings using computer graphics, and it is a field that has recently been highlighted as part of the fourth industrial revolution. Materials and Methods: Review of related literature and introduction of latest research. Results: Spine surgery using AR is currently in its early stages. If industry, academia, and research institutes cooperate and develop, spine surgery using AR is highly likely to develop to the next level. Conclusions: Spine surgeons should strive to develop relevant technology.

• Journal of Digital Convergence
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• v.17 no.12
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• pp.473-480
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• 2019

Recently, local game companies have been increasingly producing PC-based game that were popular with users among the existing commercialized games into mobile games through remakes. In this paper, we studied how console-based game influenced mobile augmented reality game . Through this process, we extracted five characteristics of mobile augmented reality, then interpreted and classified the meaning of this. Based on released in 2016, the scope of research is limited to console and mobile games previously released. According to the analysis, showed 50 characteristics and borrowed 78% from its existing Pokemon, 22% from its new production, and contained 24% reality. We also found that the Pokemon game series , and the exotic series had much influence on production. Based on this research data, we hope that augmented reality games for mobile will be made more active using existing game contents. It is also hope that such activities will lead to the growth of the home and abroad game industry.

• Journal of the Society of Disaster Information
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• v.18 no.1
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• pp.63-72
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• 2022

Purpose: After the Crona Pandemic, all countries are interested in developing various programs to attract tourists. In order to activate the attraction of tourists, it is necessary to discover the information needed by tourists and provide the information based on the visitor's location. Method: This research proposes a system configuration method for creating tourist-oriented tourism contents information. To this end, it creates GIS and QR code-based content and provides necessary information from the tourist's current location. In addition, by using QR codes installed at various points, it provides travel time and other destination information from the current location, and AR image information based on QR codes. Result: The existing tourism content system provides information using a fixed location-based QR code. This research creates and provides customized tourism information based on the location of tourists by generating GIS-based QR codes. Conclusion: This research aims to contribute to the construction of a new tourism information contents and the activation of tourist-oriented tourism information provision.