• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.6
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• pp.99-104
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• 2021

The technology of estimating a movement trajectory using a monocular camera such as a smartphone and composing a surrounding 3D image is key not only in indoor positioning but also in the metaverse service. The most important thing in this technique is to estimate the coordinates of the moving camera center. In this paper, a new algorithm for geometrically estimating the moving distance is proposed. The coordinates of the 3D object point are obtained from the first and second photos, and the movement distance vector is obtained using the matching feature points of the first and third photos. Then, while moving the coordinates of the origin of the third camera, a position where the 3D object point and the feature point of the third picture coincide is obtained. Its possibility and accuracy were verified by applying it to actual continuous image data.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.6
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• pp.27-34
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• 2011

In this paper, we propose an active 3D shape acquisition method based on photometric stereo using camera and flash on a smartphone. Two smartphones are used as the master and slave, in which the slave projects illumination from different locations while the master captures the images and processes photometric stereo algorithm to reconstruct 3D shape. In order to reduce the error, the smartphone's camera is calibrated to overcome the effect of the lens distortion and nonlinear camera sensor response. We apply 5-point algorithm to estimate the pose between smartphone cameras and then estimate lighting direction vector to run the photometric stereo algorithm. Experimental result shows that the proposed system enables us to use smartphone as a 3D camera with low cost and high quality.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.2
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• pp.155-160
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• 2014

In this paper, an algorithm using RGB-depth camera is proposed to detect smoke in interrior. RGB-depth camera, the Kinect provides RGB color image and depth information. The Kinect sensor consists of an infra-red laser emitter, infra-red camera and an RGB camera. A specific pattern of speckles radiated from the laser source is projected onto the scene. This pattern is captured by the infra-red camera and is analyzed to get depth information. The distance of each speckle of the specific pattern is measured and the depth of object is estimated. As the depth of object is highly changed, the depth of object plain can not be determined by the Kinect. The depth of smoke can not be determined too because the density of smoke is changed with constant frequency and intensity of infra-red image is varied between each pixels. In this paper, a smoke detection algorithm using characteristics of the Kinect is proposed. The region that the depth information is not determined sets the candidate region of smoke. If the intensity of the candidate region of color image is larger than a threshold, the region is confirmed as smoke region. As results of simulations, it is shown that the proposed method is effective to detect smoke in interior.

• Journal of Satellite, Information and Communications
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• v.10 no.2
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• pp.30-33
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• 2015

In this paper, we proceeded a study on the Hybrid RF based development of the smart phone Application skin disease monitoring using CMOS camera. we proposed an image transfer technology which can use the CMOS camera and we developed the smart phone application which can be possible to use a remote monitoring for skin disease. Image transfer technology using Hybrid RF communication applied for WiFi using CMOS camera. We implemented the function which can use a remote monitoring using Wi-Fi. These suggestion can be a good example for endoscopic applications using hybrid RF based smart phone application of skin disease monitoring using CMOS camera.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.36 no.2
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• pp.43-50
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• 2018

The camera is a key element in image-based three-dimensional positioning, and camera calibration, which properly determines the internal characteristics of such a camera, is a necessary process that must be preceded in order to determine the three-dimensional coordinates of the object. In this study, a new methodology was proposed to determine interior orientation parameters of a camera semi-automatically without being influenced by size and shape of checkerboard for camera calibration. The proposed method consists of exterior orientation parameters estimation using quaternion, recognition of calibration target, and interior orientation parameter determination through bundle block adjustment. After determining the interior orientation parameters using the chessboard calibration target, the three-dimensional position of the small 3D model was determined. In addition, the horizontal and vertical position errors were about ${\pm}0.006m$ and ${\pm}0.007m$, respectively, through the accuracy evaluation using the checkpoints.

• The Journal of the Korea Contents Association
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• v.15 no.11
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• pp.27-40
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• 2015

Live cinema theatre is the latest installment of multimedia show where the filming of the performance of dramatic texts becomes the live stage event. Here, the actors perform before the camera and all the audio-visual effects are produced and constructed live. Mediated through the camera and projection screen, the stage image becomes a real-time production situation where all the scenes are put together right in front of a live audience. The very concept of live cinema as dramatic theatre has been developed by English stage director Katie Mitchell who attempts to present the stage as a cohesive representation system; this is more than a provisional experimentation where the ever-changing notion of in-betweenness is constantly tested. It is rather a predetermined operational system where the relationship between cinema and theatre is governed by the logic of synchrony, therefore maintain their own individual institutional reality. Here, the presence of camera has an effect not only on the organization of stage but also an affect on how human body exists within the situation.

• Bulletin of the Korean Space Science Society
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• 2009.10a
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• pp.45.1-45.1
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• 2009

과학기술위성 3호의 주탑재체인 MIRIS (Multi-purpose InfraRed Imaging System)는 우주관측카메라 (Space Observation Camera, SOC)와 지구관측카메라 (Earth Observation Camera, EOC)가 독립적인 시스템으로 구성되어 있다. 지구관측카메라는 유효 구경 100 mm, F/5의 광학계로 3-5 마이크론 파장영역을 관측하며, 국내에서 개발된 적외선 검출기의 우주 인증 시험과 유사시 한반도 적외선 감시를 주요 목적으로 하고 있다. 고도 700km에서 지상을 볼 때 약 42m/pixel의 공간분해능을 나타낼 것으로 기대하고 있다. 지구관측카메라의 인증 모델(Qualification Model)은 냉동기를 제외한 모든 부품이 국내기술로 제작되었으며, 미러 본딩 및 릴레이 렌즈 조립 기술, 적외선 영상 검교정 기술 등 다양한 경험과 도전을 제공했다. 이 발표에서는 지구관측카메라 인증모델을 이용하여 수행한 주요 시험 과정을 소개한다. 국내 회사 (주)i3 system에서 제작된 적외선 검출기는 $320\times256$ HgCdTe array (평균 양자효율 80% 이상) 이며 77K에서 정상적으로 운영된다. Micro Stirling Cooler에 의해 듀어는 전원을 켠 후 5분 이내에 검출기 운영온도인 77K까지 내려간다. 적외선 광학계의 정렬, 시스템 MTF 측정, 흑체 측정 및 검교정 작업을 수행한 후 야외에서 다양한 경우에 대해 Field Test를 진행했다. 이 발표에서는 Field Test 과정과 이를 통해 얻은 결과를 발표하고, FM (Flight Model) 제작에 있어 수정해야 할 사항들을 제안해 본다.

• Korean Journal of Optics and Photonics
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• v.25 no.5
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• pp.245-253
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• 2014

We report a realistic field-performance simulation for a new MWIR camera. It is designed for early detection of missile plumes over a distance range of a few hundred kilometers. Both imaging and radiometric performance of the camera are studied by using real-scale integrated ray tracing, including targets, atmosphere, and background scene models. The simulation results demonstrate that the camera would satisfy the imaging and radiometric performance requirements for field operation.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.455-455
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• 2016

최근 기후변화로 빈번하게 발생하는 국지성 집중호우로 인해 홍수 피해가 증가하고 있으며, 이에 따라 유량 계측 자료의 필요성이 더욱 증대되고 있다. 현재까지 하천의 홍수 유량측정은 대부분 부자법에 의해 수행되어 왔지만, 측정 작업의 위험성이나 측정 정확도에 대해 여러 문제점이 지적되고 있다. 이에 비접촉식 측정 방법으로 안전하고 측정방식이 간편하며 높은 정확도를 갖춘 표면영상유속측정법(Surface Image Velocimetry, SIV)에 대한 연구가 활발하게 진행되고 있다. 다만 표면영상유속측정법의 경우 질 좋은 영상 촬영을 위해 밝은 빛이 필요하고, 일반적으로 매우 작은 규모의 하천을 제외하고는 영상 획득이 어렵다는 한계가 있다. 이와 같은 문제들을 해결하기 위해 최근 류권규 등(2015)은 영상 획득 장비로 원적외선 카메라의 적용성을 검토한 바 있다. 원적외선 카메라의 경우 별도의 조명을 필요로 하지 않기 때문에 주야간 구분 없이 사용 가능하다는 장점이 있으며 실제 하천에서 홍수와 함께 발생하는 안개의 영향 또한 받지 않아 고정식으로 설치하여 하천 유량측정 시스템을 구성하는 좋은 대안이 될 수 있음을 강조하였다. 다만, 원적외선 카메라는 야간에 적용시 주간과 비교하여 수표면의 움직임이 느리게 분석되는 경향이 있다고 하였다. 실험 결과를 보면, 소형 프로펠러 유속계로 측정한 수표면의 유속값에 비교하여 일반 캠코더 영상으로 산정한 유속 산정 결과의 상대오차는 최대 -10%인 반면, 원적외선 카메라 영상으로 산정한 유속 산정 결과의 오차는 -9%에서 -19%(주간), -10% 에서 -23%까지의 오차 범위를 나타내는 등 일반 캠코더에 비해 원적외선 카메라의 정확도가 다소 떨어지는 결과를 나타냈으며, 이러한 문제를 해결하기 위해서는 원적외선 영상의 명암값 분포 차이를 해결하기 위해 영상 처리 기법에 대한 추가적인 연구가 필요할 것이라고 하였다. 이에 본 연구에서는 원적외선 영상에 대한 다양한 영상 개선을 통해 표면영상유속계의 유속 측정 정확도를 높이고자 하였다. 이를 위해 우선, 적정 해상도와 시간간격을 제시하였으며, 영상의 색 보정과 영상 강화 등의 영상 개선을 통해 원적외선 영상을 이용한 유속 산정 정확도를 향상하였고, 마지막으로 다양한 야간 하천 흐름 조건에 적용하여 원적외선 영상을 활용한 표면영상유속계의 유속 측정 정확도를 높이고자 하였다.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.10
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• pp.411-420
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• 2019

Camera model identification has been a subject of steady study in the field of digital forensics. Among the increasingly sophisticated crimes, crimes such as illegal filming are taking up a high number of crimes because they are hard to detect as cameras become smaller. Therefore, technology that can specify which camera a particular image was taken on could be used as evidence to prove a criminal's suspicion when a criminal denies his or her criminal behavior. This paper proposes a deep learning model to identify the camera model used to acquire the image. The proposed model consists of four convolution layers and two fully connection layers, and a high pass filter is used as a filter for data pre-processing. To verify the performance of the proposed model, Dresden Image Database was used and the dataset was generated by applying the sequential partition method. To show the performance of the proposed model, it is compared with existing studies using 3 layers model or model with GLCM. The proposed model achieves 98% accuracy which is similar to that of the latest technology.