• International journal of advanced smart convergence
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• 제6권4호
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• pp.88-95
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• 2017

The conventional scan methods are based on a laser scanner and a depth camera, which requires high cost and complicated post-processing. Whereas in photometric scanning method, the 3D modeling data is acquired through multi-view images. This is advantageous compared to the other methods. The quality of a photometric 3D model depends on the environmental conditions or the object characteristics, but the quality is lower as compared to other methods. Therefore, various methods for improving the quality of photometric scanning are being studied. In this paper, we aim to investigate the effect of illumination conditions on the quality of photometric scanning data. To do this, 'Moai' statue is 3D printed with a size of $600(H){\times}1,000(V){\times}600(D)$. The printed object is photographed under the hard light and soft light environments. We obtained the modeling data by photometric scanning method and compared it with the ground truth of 'Moai'. The 'Point-to-Point' method used to analyseanalyze the modeling data using open source tool 'CloudCompare'. As a result of comparison, it is confirmed that the standard deviation value of the 3D model generated under the soft light is 0.090686 and the standard deviation value of the 3D model generated under the hard light is 0.039954. This proves that the higher quality 3D modeling data can be obtained in a hard light environment. The results of this paper are expected to be applied for the acquisition of high-quality data.

• 한국컴퓨터그래픽스학회논문지
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• 제21권3호
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• pp.27-35
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• 2015

본 연구는 전역 조명 기법 중 하나인 환경-광 가림(ambient occlusion)을 이용한 볼륨 렌더링 방법을 설명한다. 볼륨 밀도 분포를 정규 분포로 가정하여, 환경-광 가림을 불투명도 전이함수의 변경과 무관하게 실시간 가시화할 수 있다. 전처리 과정에서 각 복셀 주변의 일정 크기 영역의 평균과 표준편차를 계산하여 두고, 가시화 단계에서 근방의 불투명도를 추정하여 밝기를 계산한다. 이 논문은 본 연구자들의 기존 연구를 발전시켜 이론적 모델을 일반화하고 출력 영상의 화질을 향상시킨다. 구체적으로 다양한 형태의 불투명도 전이함수를 사용할 수 있는 계산 모델을 제안한다. 그리고 영역의 크기를 다양하게 통계량을 생성하여 근처의 물체에 더 높은 가중치를 부여할 수 있도록 하였다. 최종적으로 환경-광 가림 효과와 지역 조명 효과를 혼합하여, 더 현실감 있는 화질의 볼륨 가시화 영상을 실시간으로 생성할 수 있다.

• 조명전기설비학회논문지
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• 제18권6호
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• pp.22-30
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• 2004

도시 공간에서의 교량경관 조명연출의 목적은 교량과 주변의 수변 공간을 아름답게 연출할 뿐만 아니라 사람과 자동차에 대하여 안전성 및 쾌적성을 확보함과 동시에 야간경관의 심미적 공간을 연출한다. 또한 환경과의 조화, 그리고 지역의 문화성, 역사성, 상징성과 융합하여 도시의 새로운 아이덴티티를 창출하기 위한 것으로서, 관광자원으로서의 부가가치를 높일 수 있으므로 최근에는 정부가 적극적으로 교량 경관조명을 활성화시키고 있으나 매뉴얼화 된 디자인과 설계기준의 부재로 교량의 예술적, 문화적 품위가 저하되고 있는 실정이므로 조속히 우리풍토에 적합한 교량 경관조명의 설계지침과 평가방법 등 이 확립되어야 하겠다. 이러한 이유로 본 연구에서는 도시미관을 향상시키기에 최적의 장소로 여겨지고 있는 한강의 교량 중 조명시설이 설치된 교량을 평가 대상으로 채택하여, 문헌고찰과 설문조사를 중심으로 예비평가항목 구성단계 및 전문가 검증 단계를 거쳐, 평가항목별 상관분석 및 인자분석 결과, 평가항목을 인자해석에 의해 중요변인으로 하고 분산 분석과 평균값 비교를 통해 중요 항목과 일반항목으로 구분하였고, 이를 바탕으로 전문적이고 표준화된 평가를 유도할 수 있는 교량형식별 경관조명의 평가항목을 도출하였다.

• 한국멀티미디어학회논문지
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• 제18권12호
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• pp.1439-1444
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• 2015

Measuring spectral reflectance can be regarded as obtaining inherent color parameters, and spectral reflectance has been used in image processing. Model-based spectrum recovering, one of the method for obtaining spectral reflectance, uses ordinary camera with multiple illuminations. Conventional model-based methods allow to recover spectral reflectance efficiently by using only a few parameters, however it requires some parameters such as power spectrum of illuminations and spectrum sensitivity of camera. In this paper, we propose an enhanced model-based spectrum recovering method without pre-measured parameters: power spectrum of illuminations and spectrum sensitivity of camera. Instead of measuring each parameters, spectral reflectance can be efficiently recovered by estimating and using the spectrum characteristic matrix which contains spectrum parameters: basis function, power spectrum of illumination, and spectrum sensitivity of camera. The spectrum characteristic matrix can be easily estimated using captured images from scenes with color checker under multiple illuminations. Additionally, we suggest fast recovering method preserving positive constraint of spectrum by nonnegative basis function of spectral reflectance. Results of our method showed accurately reconstructed spectral reflectance and fast constrained estimation with unmeasured camera and illumination. As our method could be conducted conveniently, measuring spectral reflectance is expected to be widely used.

• JSTS:Journal of Semiconductor Technology and Science
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• 제7권3호
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• pp.196-208
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• 2007

An analytical model is proposed for an optically controlled Metal Semiconductor Field Effect Transistor (MESFET), known as Optical Field Effect Transistor (OPFET) considering the diffusion fabrication process. The electrical parameters such as threshold voltage, drain-source current, gate capacitances and switching response have been determined for the dark and various illuminated conditions. The Photovoltaic effect due to photogenerated carriers under illumination is shown to modulate the channel cross-section, which in turn significantly changes the threshold voltage, drainsource current, the gate capacitances and the device switching speed. The threshold voltage $V_T$ is reduced under optical illumination condition, which leads the device to change the device property from enhancement mode to depletion mode depending on photon impurity flux density. The resulting I-V characteristics show that the drain-source current IDS for different gate-source voltage $V_{gs}$ is significantly increased with optical illumination for photon flux densities of ${\Phi}=10^{15}\;and\;10^{17}/cm^2s$ compared to the dark condition. Further more, the drain-source current as a function of drain-source voltage $V_{DS}$ is evaluated to find the I-V characteristics for various pinch-off voltages $V_P$ for optimization of impurity flux density $Q_{Diff}$ by diffusion process. The resulting I-V characteristics also show that the diffusion process introduces less process-induced damage compared to ion implantation, which suffers from current reduction due to a large number of defects introduced by the ion implantation process. Further the results show significant increase in gate-source capacitance $C_{gs}$ and gate-drain capacitance $C_{gd}$ for optical illuminations, where the photo-induced voltage has a significant role on gate capacitances. The switching time ${\tau}$ of the OPFET device is computed for dark and illumination conditions. The switching time ${\tau}$ is greatly reduced by optical illumination and is also a function of device active layer thickness and corresponding impurity flux density $Q_{Diff}$. Thus it is shown that the diffusion process shows great potential for improvement of optoelectronic devices in quantum efficiency and other performance areas.

• Transactions on Electrical and Electronic Materials
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• 제15권6호
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• pp.315-319
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• 2014

In this paper, we investigate visible light stress instability in radio frequency (RF) sputtered a-IGZO thin film transistors (TFTs). The oxygen flow rate differs during deposition to control the concentration of oxygen vacancies, which is confirmed via RT PL. A negative shift is observed in the threshold voltage ($V_{TH}$) under illumination with/without the gate bias, and the amount of shift in $V_{TH}$ is proportional to the concentration of oxygen vacancies. This can be explained to be consistent with the ionization oxygen vacancy model where the instability in $V_{TH}$ under illumination is caused by the increase in the channel conductivity by electrons that are photo-generated from oxygen vacancies, and it is maintained after the illumination is removed due to the negative-U center properties.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1993년도 Proceedings of International Conference for Agricultural Machinery and Process Engineering
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• pp.478-486
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• 1993

For satisfactory greenhouse culture, environmental factors must be kept in proper conditions. Therefore, it is important to know relations between environmental conditions and greenhouse systems. In this study, the environment variations and distributions in different types of greenhouses were measured and analyzed. The elements of environment analyzed were temperature , relative humidity, illumination, carbon dioxide and wind velocity. The analyzed greenhouse types were three different types. One of them, A type, was propagation model type by government and the other one, B type, was multiple continuous arches type which was made by farmers himself. The last one, C type, was single arch type which has no environment control system without manual temperature keeping method. The results of this study can be used for reasonable greenhouse environments managements and control.

• 방송공학회논문지
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• 제20권4호
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• pp.606-618
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• 2015

컴퓨터 그래픽스(CG: computer graphics) 기술은 영화나 TV와 같은 미디어 컨텐츠에서 중요한 요소 기술로 자리매김하고 있다. 영상 속 특정 인물의 얼굴을 다른 사람의 얼굴로 교체하는 얼굴 교체 기술은 대표적인 CG 기술 중의 하나로써 오래전부터 많이 연구되어 왔다. 본 논문에서는 3D 모델을 사용하지 않고 특정 조명 환경을 갖고 있는 목표 동영상 속의 얼굴을 다른 조명 환경을 갖고 있는 참조 정지 영상 속의 얼굴로 자연스럽게 교체할 수 있는 기술을 제안한다. 실험 결과, 제안하는 방법이 서로 다른 조명을 갖고 있는 두 얼굴 간의 얼굴 교체를 자연스럽게 수행할 수 있는 것을 확인할 수 있었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권11호
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• pp.4170-4188
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• 2014

In this study, we present a denoising algorithm for high-frame-rate videos in an ultra-low illumination environment on the basis of Kalman filtering model and a new motion segmentation scheme. The Kalman filter removes temporal noise from signals by propagating error covariance statistics. Regarded as the process noise for imaging, motion is important in Kalman filtering. We propose a new motion estimation scheme that is suitable for serious noise. This scheme employs the small motion vector characteristic of high-frame-rate videos. Small changing patches are intentionally neglected because distinguishing details from large-scale noise is difficult and unimportant. Finally, a spatial bilateral filter is used to improve denoising capability in the motion area. Experiments are performed on videos with both synthetic and real noises. Results show that the proposed algorithm outperforms other state-of-the-art methods in both peak signal-to-noise ratio objective evaluation and visual quality.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2023년도 추계학술발표대회
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• pp.637-640
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• 2023

This paper presents multimodal image fusion with human pose for detecting abnormal human behaviors in low illumination conditions. Detecting human behaviors in low illumination conditions is challenging due to its limited visibility of the objects of interest in the scene. Multimodal image fusion simultaneously combines visual information in the visible spectrum and thermal radiation information in the long-wave infrared spectrum. We propose an abnormal event detection scheme based on the multimodal fused image and the human poses using the keypoints to characterize the action of the human body. Our method assumes that human behaviors are well correlated to body keypoints such as shoulders, elbows, wrists, hips. In detail, we extracted the human keypoint coordinates from human targets in multimodal fused videos. The coordinate values are used as inputs to train a multilayer perceptron network to classify human behaviors as normal or abnormal. Our experiment demonstrates a significant result on multimodal imaging dataset. The proposed model can capture the complex distribution pattern for both normal and abnormal behaviors.