• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.10
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• pp.4948-4967
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• 2017

On mobile devices, image sequences are widely used for multimedia applications such as computer vision, video enhancement, and augmented reality. However, the real-time processing of mobile devices is still a challenge because of constraints and demands for higher resolution images. Recently, heterogeneous computing methods that utilize both a central processing unit (CPU) and a graphics processing unit (GPU) have been researched to accelerate the image sequence processing. This paper deals with various optimizing techniques such as parallel processing by the CPU and GPU, distributed processing on the CPU, frame buffer object, and double buffering for parallel and/or distributed tasks. Using the optimizing techniques both individually and combined, several heterogeneous computing structures were implemented and their effectiveness were analyzed. The experimental results show that the heterogeneous computing facilitates executions up to 3.5 times faster than CPU-only processing.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.575-576
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• 2011

휴대형 단말기인 스마트폰이 급속도로 확산되면서 스마트폰을 이용한 위치 관련 앱들이 최근에 각광을 받고 있다. 특히 증강현실 시스템과 관련된 앱들은 영상에 대한 인식보다는 단말기의 위치를 파악하여 2차원 혹은 3차원 지도 데이터와 결합하는 방법을 많이 활용하고 있다. 그러나 스마트폰 단말기의 위치에 대한 정확성은 매우 높은 편이지만 기본적으로 제공되는 GSP의 오차범위와 주변 환경에 따라 발생하는 오차로 인해 부정확한 결과를 초래하기도 한다. 이 문제 해결을 위해 스마트폰의 증강현실 앱에 위치를 보정해 주는 기능을 첨가하여 GPS가 올바로 작동하지 않는 지역에서도 증강현실 장면을 보여줄 수 있게 되었다.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.06a
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• pp.50-52
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• 2010

전통적인 공간 정보 기술인 GIS는 최근 첨단 정보통신 기술들과의 융 복합을 통해 유비쿼터스 환경을 구축하기 위해 진화하고 있다. 한편, 증강현실 기술은 (Augmented Reality) 가상의 그래픽 환경을 실제 환경에 합성하여 사용자가 실제와 가상을 동시에 인식하게 하는 기술이다. 최근 휴대기기의 발달로 전통적인 사용자 위치 기반 서비스에 증강현실을 접목하여 다양한 정보를 실제 환경에 더해 보여주는 기술들이 증가 하고 있다. 전통적인 GIS에서의 공간 질의는 최소 정계 사각형을 사용하지만 증강현실이 적용되는 공간 질의는 삼각형의 형태를 가진다. 본 논문에서는 이러한 증강현실 응용을 위한 공간 질의 검색 알고리즘을 제안한다. 제안하는 알고리즘은 데드 스페이스 발생으로 인한 노드의 추가 검색 시간을 감소시킴으로서 기존의 R-tree 기반의 공간 색인들의 성능 향상을 꾀한다. 마지막으로 PostGIS를 이용한 실험을 통해 성능을 입증하였다.

• Journal of Information Technology Applications and Management
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• v.27 no.4
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• pp.49-62
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• 2020

In this study, the research model of VR·AR contents convergence education for solving social problems was presented after benchmarking the domestic and foreign realistic educational contents industry and policy trends and Fishbone diagram analysis. The goal was to create VR·AR content convergence talent for co-prosperity in the era of the fourth industrial revolution, and the target of education was students, researchers, and business personnel who are interested in VR AR technology education and contents business such as game animation, etc. The education model is based on understanding about storytelling of the socially disadvantaged, such as children and the elderly, and is technology education for content production including the application of virtual and augmented reality SW, and is a convergence education for content planning and business model strategy development.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.11a
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• pp.18-20
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• 2015

본 논문은 마그네틱 센서 기반의 오브젝트 추적 기술을 이용한 혼합현실 선거 방송 시스템을 제안한다. 마커 기반의 증강현실 기술은 방송환경에서는 강한 조명으로 인하여 마커의 특징점 추출의 간섭 및 소실로 추적이 끊기는 문제가 있다. 특히, 선거방송와 같은 생방송 중에 그래픽이 튀거나 사라지는 것은 방송 사고와 다름없다. 따라서, 우리는 조명이나 가림의 영향 없이 추적 성능을 강인하게 하기 위해서, 무선의 마그네틱 센서를 내장한 별도로 제작한 투표함 모형을 추적하도록 하였다. 본 논문에서는 마그네틱 센서를 내장한 실물 투표함을 실시간으로 추적하게 하고, 그 정보를 증강현실 방송 시스템과 통합한 시스템 구성 및 그것을 이용한 증강현실 선거 방송 어플리케이션을 보여준다. 그 결과, 연기자가 선거정보그래픽과 연동하는 투표함을 자유롭고 직관적으로 움직일 수 있었으며, 자연스러운 증강현실 합성 결과를 얻을 수 있었다.

• Journal of International Society for Simulation Surgery
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• v.3 no.1
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• pp.9-11
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• 2016

Purpose In this paper we proposed bi-directional hierarchical regression for accurate human finger landmark detection with only using depth information.Materials and Methods Our algorithm consisted of two different step, initialization and landmark estimation. To detect initial landmark, we used difference of random pixel pair as the feature descriptor. After initialization, 16 landmarks were estimated using cascaded regression methods. To improve accuracy and stability, we proposed bi-directional hierarchical structure.Results In our experiments, the ICVL database were used for evaluation. According to our experimental results, accuracy and stability increased when applying bi-directional hierarchical regression more than typical method on the test set. Especially, errors of each finger tips of hierarchical case significantly decreased more than other methods.Conclusion Our results proved that our proposed method improved accuracy and stability and also could be applied to a large range of applications such as augmented reality and simulation surgery.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.8
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• pp.3011-3024
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• 2021

Pose estimation of the sensor is important issue in many applications such as robotics, navigation, tracking, and Augmented Reality. This paper proposes visual-inertial integration system appropriate for dynamically moving condition of the sensor. The orientation estimated from Inertial Measurement Unit (IMU) sensor is used to calculate the essential matrix based on the intrinsic parameters of the camera. Using the epipolar geometry, the outliers of the feature point matching are eliminated in the image sequences. The pose of the sensor can be obtained from the feature point matching. The use of IMU sensor can help initially eliminate erroneous point matches in the image of dynamic scene. After the outliers are removed from the feature points, these selected feature points matching relations are used to calculate the precise fundamental matrix. Finally, with the feature point matching relation, the pose of the sensor is estimated. The proposed procedure was implemented and tested, comparing with the existing methods. Experimental results have shown the effectiveness of the technique proposed in this paper.

• Electronics and Telecommunications Trends
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• v.34 no.4
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• pp.108-116
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• 2019

Electro-active polymers and dielectric elastomers have many intriguing properties that enable smart interfaces and electrically tunable optical systems, such as haptic feedback devices, artificial muscles, and expansion-tunable optical elements. These device classes are of great interest owing to their promising roles in next-generation technologies including virtual or augmented reality, human sensing and muscular enhancement, and artificial skins. In this report, we review basic principles, current state-of-the-art techniques, and future prospects of electro-active and dielectric elastomer technology. We describe chemical and physical properties of the most promising polymer substances, essential elementary architectures for artificial muscle-like functionalities, and their applications to haptic interfaces, muscular enhancement, and focus-tunable optical elements.

• Journal of the Semiconductor & Display Technology
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• v.16 no.4
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• pp.97-102
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• 2017

Object detection and tracking have become one of the most active research areas in the past few years, and play an important role in computer vision applications over our daily life. Many tracking techniques are proposed, and Camshift is an effective algorithm for real time dynamic object tracking, which uses only color features, so that the algorithm is sensitive to illumination and some other environmental elements. This paper presents and implements an effective moving object detection and tracking to reduce the influence of illumination interference, which improve the performance of tracking under similar color background. The implemented prototype system recognizes object using invariant features, and reduces the dimension of feature descriptor to rectify the problems. The experimental result shows that that the system is superior to the existing methods in processing time, and maintains better problem ratios in various environments.

• Journal of KIBIM
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• v.13 no.2
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• pp.29-36
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• 2023

This study explores the potential of utilizing video-based data analysis and machine learning techniques to estimate the number of occupants within a building. The research methodology involves developing a sophisticated counting system capable of detecting and tracking individuals' entry and exit patterns. The proposed method demonstrates promising results in various scenarios; however, it also identifies the need for improvements in camera performance and external environmental conditions, such as lighting. The study emphasizes the significance of incorporating machine learning in architectural and urban planning applications, offering valuable insights for the field. In conclusion, the research calls for further investigation to address the limitations and enhance the system's accuracy, ultimately contributing to the development of a more robust and reliable solution for building occupancy estimation.