• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.206-219
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• 2011

This study is the first step for ICT-based service model development for exhibition service innovation. To obtain the goal of this research, we derived the core problems of current exhibition industry service through previous literature, open-ended question and focus group interview. And then, we provided prioritization of twelve new services utilizing six assessment items(importance, duplication, urgency, ease of execution, prevalence, publicness) to derive policy priorities. We analyzed two portfolios that combination of four assessment items - importance/urgency and ease of execution/prevalence. Through surveying and analyzing the result, this paper serves that the priority facts are 'The work invisible barrier installation services', 'Exhibition history management and referral services', and 'Exhibit labels and descriptive text information service utilizing Augmented Reality'. In particular, 'The work invisible barrier installation services' is the most important service not only the assessment criterion of duplication and publicness but also overall measurement score points.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.4
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• pp.34-40
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• 2018

This paper presents a new method to estimate the pose of a moving object accurately using a monocular camera and a low-end GPS+IMU sensor system. For this goal, we adopted a deep neural network for the semantic segmentation of input images and compared the results with a semantic map of a neighborhood. In this map matching, we use weight tables to deal with label inconsistency effectively. Signals from a low-end GPS+IMU sensor system are used to limit search spaces and minimize the proposed function. For the evaluation, we added noise to the signals from a high-end GPS-IMU system. The results show that the pose can be recovered from the noisy signals. We also show that the proposed method is effective in handling non-open-sky situations.

• Journal of Convergence for Information Technology
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• v.10 no.10
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• pp.9-14
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• 2020

With the distribution modernization policy advanced by the government and consumers preference toward it, the so called "modern market" has undergone rapid growth. Conversely, traditional market is losing popularity with consumers as a result of inadequate modern structures, small market size, convoluted relationships, inefficient operation and disordered transactions, among others. Therefore, this study seeks to utilize ubiquitous computing, that is, the upgrade of context aware information to 6W1H and promote the market through the interface with Smartphone and provide advanced information through the augmented reality technology. For the construction of context-aware system using user context, the results may significantly differ according to how reference rules are applied to and implemented on knowledge base. In light of above, through the use of RFID technology and 6W1H context awareness, we seek to promote traditional markets.

• Journal of Broadcast Engineering
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• v.11 no.4 s.33
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• pp.495-506
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• 2006

In this paper, we propose a self-calibration of a multi-camera system using factorization techniques for realistic contents generation. The traditional self-calibration algorithms for multi-camera systems have been focused on stereo(-rig) camera systems or multiple camera systems with a fixed configuration. Thus, it is required to exploit them in 3D reconstruction with a mobile multi-camera system and another general applications. For those reasons, we suggest the robust algorithm for general structured multi-camera systems including the algorithm for a plane-structured multi-camera system. In our paper, we explain the theoretical background and practical usages based on a projective factorization and the proposed affine factorization. We show experimental results with simulated data and real images as well. The proposed algorithm can be used for a 3D reconstruction and a mobile Augmented Reality.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.459-464
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• 2020

This study is a study that analyzes the user experience of a virtual makeup application in the beauty industry where color or formulation testing is important. Recently, cases of beauty smart stores and beauty applications using AR and AI are increasing. However, since virtual makeup is different from testing a real product, it is necessary to derive needs through research from the user's side. In order to compare user preferences by using AR and AI cases, six factors based on the emotional interface model were analyzed through a questionnaire to identify items with statistically significant figures. As a result, the user felt comfortable with the virtual makeup function, but showed that it needs to be supplemented in terms of reliability. Since this study focused on the customer experience as a real user and identified the main experience factors and needs of virtual makeup through two types of comparison, it is hoped that this study will be useful as a prior study.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.4
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• pp.25-33
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• 2010

In this paper, we propose a simple and efficient algorithm for head pose estimation using a single camera. First, four subimages are obtained from the camera image for face feature extraction. These subimages are used as feature templates. The templates are then tracked by Kalman filtering, and camera projective matrix is computed by the projective mapping between the templates and their coordinate in the 3D coordinate system. And the user's face pose is estimated from the projective mapping between the user's face and image plane. The accuracy and the robustness of our technique is verified on the experimental results of several real video sequences.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.5
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• pp.151-159
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• 2018

Recently, stereoscopic technology has become a potential for blue ocean as a new growth power industry, and interest in it has been steadily increasing with the development of virtual and augmented reality technologies. Various methods such as binocular parallax and polarized glasses have been developed and used for stereoscopic image expression, but they have limitations such as eye damage, headache, crosstalk and resolution degradation. In this paper, we present a new method of stereoscopic image representation that can overcome the limitations and verify its applicability through basic experiments for object extraction and real - time image representation.

• Journal of Ocean Engineering and Technology
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• v.24 no.1
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• pp.178-184
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• 2010

Today, there has been a decrease in international shipping because of the weakening in global economies. Therefore, shipowners are thinking more about Floating Production Storage and Offloading (FPSO), which can perform functions related to the transporting, storage, and tracking of crude oil from oil wells. Given the huge expense of these special ships, shipowners require workers who can solve problems quickly and secure sustainable production functions in this age of globalization. Furthermore, it is important to design, construct, and maintain facilities so that a ship remains in operation over a long term. This paper discusses a system that uses knowledge-based AR to help workers improve their understanding and deal with pipeline equipment problems safely. In addition, it displays a 3CAD model and status information for products to improve their recognition on the FPSO that they intend to inspect. At the same time, the system works quickly and offers solutions for dangerous circumstances or malfunctions. It thus helps to maintain the functionality of the FPSO throughout its life-cycle.

• Journal of Korea Game Society
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• v.13 no.5
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• pp.43-54
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• 2013

With the consistent development of the 3D application technique, visuals are available at more realistic quality and are utilized in many applications like game. In particular, interacting with 3D objects in virtual environments, 3D graphics have led to a substantial development in the augmented reality. This study proposes a 3D user interface to control objects in 3D space through virtual two-view method using only one camera. To do so, homography matrix including transformation information between arbitrary two positions of camera is calculated and 3D coordinates are reconstructed by employing the 2D hand coordinates derived from the single camera, homography matrix and projection matrix of camera. This method will result in more accurate and quick 3D information. This approach may be advantageous with respect to the reduced amount of calculation needed for using one camera rather than two and may be effective at the same time for real-time processes while it is economically efficient.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.1
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• pp.151-156
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• 2017

In case of massive water leakage, it's crucial for field manager to quickly positioning the problematic valve and related ones. However, it's not easy for the system to find the corresponding valve and even if it's found, it can not respond quickly because it can't know the relevant information immediately. In this paper, we implement the system for identifying sluice valve positions using GPS and AR techniques. The proposed system is composed of hand held android device, remote database server and data acquisition device for DB creation. We utilize the android device's sensors including GPS, gyro, accelerometer, magnetic sensor. The system identifies the valve with matching between the position data from the remote database server, and current GPS locations of device. We use AR techniques to overlay the graphics pattern of valve positions and some additional informations on captured real scene. With this system, it will be fast and accurate for maintenance of sluice valve of municipal water system.