• Journal of Digital Convergence
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• v.12 no.11
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• pp.357-364
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• 2014

AR contents, if markers to be tracked move fast, show flickering while updating images captured from cameras. Conventional methods employing image based markers and SLAM algorithms for tracking objects have the problem that they do not allow more than 2 objects to be tracked simultaneously and interacted with each other in the same camera scene. In this paper, an improved SLAM type algorithm for tracking dynamic objects is proposed and investigated to solve the problem described above. To this end, method using 2 virtual cameras for one physical camera is adopted, which makes the tracked 2 objects interacted with each other. This becomes possible because 2 objects are perceived separately by single physical camera. Mobile robots used as dynamic objects are synchronized with virtual robots in the well-designed contents, proving usefulness of applying the result of individual tracking for multiple moving objects to augmented visualization of objects.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.1021-1023
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• 2011

본 논문에서는 현재 많은 사람들에게 각광받고 있는 트릭아트 전시물에 증강현실 기술을 활용한 형태의 서비스 구조 설계를 제안한다. 트릭아트는 기존 전시와의 차별성을 위해 사용자의 참여를 유도하면서, 다양한 표현방식의 전시 정보 제공이 요구된다. 이에 제안하는 서비스 구조 설계는 눈의 착시현상을 이용하는 트릭아트의 각 전시물 특성에 맞춰 마커와 마커리스 방식으로 구분하고 전시 정보를 제공하며, 원활한 서비스 제공을 위해 웹 환경을 기반으로 한다.

• Journal of Advanced Navigation Technology
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• v.16 no.6
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• pp.1032-1037
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• 2012

Augmented reality (AR) is augmented virtual information on the real world with real-time. And user can interact with information. In this paper, Marker-less tracking algorithm has been studied, for implement the augmented reality system on a mobile environment. In marker-less augmented reality, users do not need to attach the markers, and constrained the location. So, it's convenient to use. For marker-less tracking, I use the SURF algorithm based on feature point extraction in this paper. The SURF algorithm can be used on mobile devices because of the computational complexity is low. However, the SURF algorithm optimization work is not suitable for mobile devices. Therefore, in this paper, in order to the suitable tracking in mobile devices, the SURF algorithm was tested in a variety of environments. And ways to optimize has been studied.

• Journal of Internet Computing and Services
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• v.15 no.3
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• pp.11-19
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• 2014

The natural user interface/experience (NUI/NUX) is used for the natural motion interface without using device or tool such as mice, keyboards, pens and markers. Up to now, typical motion recognition methods used markers to receive coordinate input values of each marker as relative data and to store each coordinate value into the database. But, to recognize accurate motion, more markers are needed and much time is taken in attaching makers and processing the data. Also, as NUI/NUX framework being developed except for the most important intuition, problems for use arise and are forced for users to learn many NUI/NUX framework usages. To compensate for this problem in this paper, we didn't use markers and implemented for anyone to handle it. Also, we designed multi-modal NUI/NUX framework controlling voice, body motion, and facial expression simultaneously, and proposed a new algorithm of mouse operation by recognizing intuitive hand gesture and mapping it on the monitor. We implement it for user to handle the "hand mouse" operation easily and intuitively.

• Journal of Life Science
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• v.27 no.12
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• pp.1462-1469
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• 2017

The purpose of this study was to investigate the effects of resveratrol supplementation on inflammasome, inflammation, and macrophage markers in subcutaneous adipose tissue of high-fat-diet-induced obese mice. C57BL/6 mice were randomly assigned to three groups: normal diet control (NC; n=10), high-fat diet control (HC; n=10), or high fat with resveratrol (HRE; n=10) group. The mice were fed a high-fat diet (60% of calories from fat) or normal diet (18% of calories from fat). Resveratrol dissolved in a 0.1ml solution of dimethyl sulfoxide was supplemented orally at 25 mg/kg body weight. After 15 weeks, the body weight was significantly higher in the high-fat diet group than in the normal diet group. The inflammasome markers NLRP3, ASC, and caspase1 were significantly lower in the HRE group than in the HC group. The levels of an inflammation marker, IL-18, were also significantly lower in the HRE group than in the NC and HC groups. The levels of macrophage markers F480 and CD86 were significantly lower in the HRE group than in the HC group. The levels of the M2 macrophage marker CD206 were significantly decreased in the HC and HRE groups. Resveratrol had a positive effect on ameliorating the complications of high fat diet-induced obesity by reducing inflammasome and M1 macrophage gene expressions. However, resveratrol supplementation did not reduce inflammation gene expression.

• Journal of Sensor Science and Technology
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• v.12 no.5
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• pp.211-217
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• 2003

This paper is proposed that roadway recognition performance improvement for autonomous vehicle using magnetic markers that are embedded along the road center and the sensors mounted on a vehicle, and which changing of magnetic field that is measured along with vehicle driving. For Retrenchment of equipment cost, interval of markers is more expensive than existing method. In order to this, This paper is proposed that interval of markers is founded using magnetic field analysis, and which arrangement method of six magnetic sensors and control method of neural network. This paper is carried out magnetic field analysis, the acquiring of the training patterns, the training of the neural network and composition of steering control, and is verified that roadway recognition performance can improve using computer simulation with proposed methods.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.8
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• pp.1053-1059
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• 2021

In order to realize a smart home, a new type of service that converges the two technologies is required as a method to overcome the respective limitations of augmented reality and IoT technologies. Augmented reality recognizes objects and projects augmented content with the recognized objects on the screen. This technology mainly uses image processing methods such as markers as a method for recognizing objects. In this paper, an augmented reality-based IoT control platform using markers was developed. By defining a marker unique to the object, a unique identifier displayed on the camera was distinguished. A smart home system was implemented by calling a controller to control things. The proposed system receives state information of objects through symptom reality and transmits control commands. The proposed platform was verified by manipulating household lights.

• Journal of Dental Rehabilitation and Applied Science
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• v.40 no.3
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• pp.135-141
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• 2024

Purpose: The purpose of this study was to investigate the accuracy of image merging of an intraoral scan of an edentulous arch to a facial scan using wax rim and markers. Materials and Methods: For registration of oral scan to face scan, a wax rim with markers was made. The markers were cuboid and divided into four groups according to size (5, 10 mm) and attachment location (midline, canine region). The evaluation of registration accuracy was compared with a standard created using cone-beam computed tomography data. Anterior linear variation of the edentulous arch and the 3D variation of the overall arch were measured. Kruskal-Wallis test and Mann-Whitney U test were used for statistics, and the significance level was set at 0.05 and evaluated under Bonferroni correction (0.05/6 = 0.083). Results: In the anterior deviation and global deviation results, there was no statistically significant difference in the oral scan position displacement values between the 5 mm and 10 mm groups. When the midline marker was used, the intraoral scan position displacement value was significantly lower than when only the canine marker was used. Conclusion: Marker attached wax rim can be used for image matching between facial and intraoral scans of the edentulous arch. Marker location at the middle area increases the accuracy of image matching.

• Cartoon and Animation Studies
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• s.37
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• pp.221-245
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• 2014

With the success of the world's first 3D computer animated film, "Toy Story" in 1995, industrial development of 3D computer animation gained considerable momentum. Consequently, various 3D animations for TV were produced; in addition, high quality 3D computer animation games became common. To save a large amount of 3D animation production time and cost, technological development has been conducted actively, in accordance with the expansion of industrial demand in this field. Further, compared with the traditional approach of producing animations through hand-drawings, the efficiency of producing 3D computer animations is infinitely greater. In this study, an experiment and a comparative analysis of markerless motion capture systems for facial expression animation has been conducted that aims to improve the efficiency of 3D computer animation production. Faceware system, which is a product of Image Metrics, provides sophisticated production tools despite the complexity of motion capture recognition and application process. Faceshift system, which is a product of same-named Faceshift, though relatively less sophisticated, provides applications for rapid real-time motion recognition. It is hoped that the results of the comparative analysis presented in this paper become baseline data for selecting the appropriate motion capture and key frame animation method for the most efficient production of facial expression animation in accordance with production time and cost, and the degree of sophistication and media in use, when creating animation.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.5
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• pp.48-54
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• 2018

With the 4th industry era, smart factories are emerging. In the era of multi-product small scale production, unmanned transportation vehicles are rapidly increasing in utilization of unmanned transportation vehicles that carry and arrange goods in the work space. The conventional unmanned vehicle detected its position by using the guided line method and the position based method for indoor location recognition and movement. This method has disadvantages of initial high cost and maintenance / maintenance. In this paper, to solve the disadvantages, the method of predicting the direct path of the unmanned vehicle through the Kalman filter is verified using the white LED marker of the warehouse and the position data and the image data of the white LED marker recognition image. Through this, the reliability of the linear movement which occupies the most part in the lattice structure is secured. It is also expected that the reliance on additional position sensors will also be reduced.