• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.445-446
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• 2019

Recently, attention has been focused on mixed reality (MR) technology, which provides an experience that can not be realized in reality by fusing virtual information into the real world. Mixed reality has the advantage of having excellent interaction with reality and maximizing immersion feeling. In this paper, we propose a method to acquire a point cloud for the production of mixed reality contents using multiple Depth and RGB camera system.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.837-838
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• 2016

최근 IoT 기술의 발전과 함께 스마트홈 기술의 발달과 Drone을 사용하는 사용자가 꾸준히 늘어나고 있는 추세이다. 스마트홈 시스템의 보안카메라는 정해진 구역을 모니터링 할 수 밖에 없다는 단점을 가지고 있다. 이러한 한계를 극복하고자, 본 논문에서는 사용자가 입력한 목적지로 실내에 미리 배치된 Drone이 이동하여 해당 목적지를 비춰줄 수 있도록 실내 보안카메라 기술을 Drone으로 대체할 수 있는 방법을 제안한다. 목적지를 인식하기 위해 실내에 위치한 Drone과 목적지의 위치값을 알아야 한다. 실내에선 GPS 좌표값을 알 수 없기 때문에 BLE Beacon이 발생시키는 신호를 이용하여 상호간의 통신을 통해 위치, 거리를 계산하도록 한다. 이러한 방식을 적용시킨다면 매번 모니터링이 필요한 구역에 새로 보안카메라를 설치하거나 배선공사하는 불편함 없이 하나의 Drone 하드웨어를 이용한 전방위 모니터링이 가능해 질 것으로 기대한다.

• Journal of Broadcast Engineering
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• v.25 no.3
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• pp.439-448
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• 2020

In this paper, we propose a modified optimization algorithm for point cloud matching of multi-view RGB-D cameras. In general, in the computer vision field, it is very important to accurately estimate the position of the camera. The 3D model generation methods proposed in the previous research require a large number of cameras or expensive 3D cameras. Also, the methods of obtaining the external parameters of the camera through the 2D image have a large error. In this paper, we propose a matching technique for generating a 3D point cloud and mesh model that can provide omnidirectional free viewpoint using 8 low-cost RGB-D cameras. We propose a method that uses a depth map-based function optimization method with RGB images and obtains coordinate transformation parameters that can generate a high-quality 3D model without obtaining initial parameters.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.789-792
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• 2011

자동차를 위한 전방향(omnidirectional) 감시 시스템, 교통 정보 수집 시스템 등 다양한 비젼 시스템에 카메라가 장착되어 사용되고 있다. 최근에는 운전자의 편의를 위하여 광각 카메라의 비선형적인 방사 왜곡을 해결하는 왜곡 보정 작업 등의 영상처리 시스템이 많이 발전하여 운전자의 사각지대를 효율적으로 최소화하고 있다. 그러나 기존의 연구에서는 카메라로부터 입력되는 왜곡 영상을 보정하는데에 별도의 H/W인 DSP(Digital Signal Processes) 또는 SOC(System On Chp) 형태의 전용 H/W를 추가하여 임베디드 시스템의 성능을 보완하고 있다. 하지만 위와 같은 별도의 H/W를 추가하여 임베디드 시스템의 성능을 보완할 경우 시스템이 복잡해지고 가격이 비싸진다는 단점이 있다. 본 논문에서는 이러한 문제점을 보완하기 위하여 왜곡 보정 알고리즘과 호모그래피(Homography) 알고리즘의 연산량을 감소시켜 임베디드 시스템 환경에서 추가의 H/W 비용없이 왜곡 보정을 수행하는 알고리즘을 제안하고, 제안한 알고리즘을 구현하여 실제 시스템에 적용한 결과를 제시하여 구현 타당성을 검증한다.

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.5
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• pp.159-166
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• 2010

From public insecurity, access of wealth, alteration of population structure, and changes of security recognition, physical security has been continuously developed and changed. In these days, typical systems for physical security are unmanned security system using telephone network and security equipment, image recognition system using DVR and camera, and access control system by finger print recognition and RFID cards. However, physical security system is broadening its domain towards ICT based convergence with networked camera, biometrics, individual authentication, and LBS services. This paper proposes main technical trends and various security convergences for future physical security services by classifying the security categories into 3 parts; Individual security for personal protection, IT Convergence for large buildings, and Homeland Security for omni-directional security.

• 한국공간정보시스템학회:학술대회논문집
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• 2007.06a
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• pp.324-328
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• 2007

텔레매틱스 분야에서 가장 널리 서비스되고 있는 내비게이션 시스템의 최신 동향은 주행중 운전자의 정보 인지를 쉽게 하도록 하는 것이다. 실감 내비게이션 기술은 운전자의 시야와 동일한 전방 영상을 카메라로부터 획득하여 운전자에게 필요한 정보를 그 위에 오버레이하여 직접 전달하는 기술이다. 이러한 실감 내비게이션을 위하여 기존 방식과는 다른 빠르고 효과적인 정보전달 방식이 필요하며, 어떤 정보를 사용자에게 어떻게 전달하느냐에 따라 다른 효과를 가져올 수 있다. 본 논문에서는 실감 내비게이션에서의 정보 표현을 위한 화면 배치, 가상객체의 디자인 안, 정보량의 적정수준 등 디자인 방향과 고려사항을 논의하고 사용자 평가에 의한 디자인 최적 대안을 제시한다.

• Journal of Broadcast Engineering
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• v.23 no.6
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• pp.939-946
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• 2018

In this paper, we implement a viewer program that can monitor effectively using omni-directional images. The program consists of four modes: Normal mode, ROI(Region of Interest) mode, Tracking mode, and Auto-rotation mode, and the results for each mode is displayed simultaneously. In the normal mode, the wide angle image is rendered as a spherical image to enable pan, tilt, and zoom. In ROI mode, the area is displayed expanded by selecting an area. And, in Auto-rotation mode, it is possible to track the object by mapping the position of the object with the rotation angle of the spherical image to prevent the object from deviating from the spherical image in Tracking mode. Parallel programming for processing of multiple modes is performed to improve the processing speed. This has the advantage that various angles can be seen compared with surveillance system having a limited angle of view.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.781-782
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• 2008

An object tracking system, which uses an omni-directional camera, is proposed in this work. First, we construct a mapping table, which describes the relationships between image coordinates and omni-directional angles Then, we develop a surveillance system to detect unexpected objects automatically from omni-directional images. Finally, we generate perspective views for detected objects by using the mapping table. Simulation results demonstrate that the proposed algorithm provides efficient performances.

• The Journal of Korea Robotics Society
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• v.17 no.3
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• pp.353-358
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• 2022

Due to the limited field of view of the pinhole camera, there is a lack of stability and accuracy in camera pose estimation applications such as visual SLAM. Nowadays, multiple-camera setups and large field of cameras are used to solve such issues. However, a multiple-camera system increases the computation complexity of the algorithm. Therefore, in multiple camera-assisted visual simultaneous localization and mapping (vSLAM) the multi-view tracking algorithm is proposed that can be used to balance the budget of the features in tracking and local mapping. The proposed algorithm is based on PanoSLAM architecture with a panoramic camera model. To avoid the scale issue 3D LiDAR is fused with omnidirectional camera setup. The depth is directly estimated from 3D LiDAR and the remaining features are triangulated from pose information. To validate the method, we collected a dataset from the outdoor environment and performed extensive experiments. The accuracy was measured by the absolute trajectory error which shows comparable robustness in various environments.

• Journal of Korean Society for Geospatial Information Science
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• v.21 no.2
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• pp.117-123
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• 2013

This study focuses on the determination of optimal photographing angle and overlapping ratio for automatic image stitching system using a non-metric camera module with motorized head. Photographing overlap was calculated considering the angle of view on different kinds of lenses and moving angle of motorized head per each option, and optimal photographing angle and overlapping ratio could be determined through the experimental result using the operating time, data volume and performance of image stitching. Through this experiment, we could find that it was effective to take a picture with $36^{\circ}$ of interval(33.82% of overlap) in vertical direction and $24^{\circ}$ or $30^{\circ}$ of interval(36.51% or 20.63% of overlap) in horizontal direction using 35mm lens for automatic image stitching system.