• Korean Journal of Cognitive Science
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• v.22 no.3
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• pp.235-254
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• 2011

Two experiments were conducted to investigate the impact of binocular disparity information on Neon color spreading (NCS). The stimuli was the modification of Ehrenstein figure used by Redies and Spillmann(1981); inner and outer segments were achromatic and middle segments was chromatic. In experiment 1, the effect of binocular disparity was tested in each segment that were divided inner, middle and outer segments. In experiment 2, the impact of added segments that were put in different depth place were tested. The results showed that the segments on same place were, the clearer the NCS was. Consistent with the previous studies, the effect of color segment in front or in behind was not appeared. The case of added segments, regardless of added segments were placed either front or behind, the NCS was reduced. But the effect of added outer segments was more affect then added inner segments. This results were suggested that NCS could be affected by depth information but more affected by stage of before depth processing.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.6
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• pp.201-208
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• 2015

3D image must have depth image for depth information in order for 3D realistic media broadcasting. We used generally belief propagation algorithm to solve probability model. Belief propagation algorithm is operated by message passing between nodes corresponding to each pixel. The high resolution image will be able to precisely represent but that required much computational complexity for 3D representation. We proposed fast stereo matching algorithm using belief propagation with multi-resolution based wavelet or lifting. This method can be shown efficiently computational time at much iterations for accurate disparity map.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.830-832
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• 2010

본 논문에서는 MicroTec을 이용하여 D-MOS(double-diffusion MOS) 트랜지스터의 접합깊이에 변화를 주어 그에 따른 전류-전압 특성 곡선을 분석하였다. D-MOS는 채널의 길이를 줄이고 높은 항복 전압을 얻기 위해 이중 확산 도핑을 하는 것을 특징으로 하며 연속적으로 확산 공정을 두 번 진행하여 채널 길이를 짧게 하고 이에 의해 고전압과 고전류를 인가할 수 있는 장점을 가진다. 본 연구에서는 D-MOS의 접합깊이에 변화를 주고 이에 따른 전류와 전압의 특성을 비교하여 분석하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2014.06a
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• pp.101-104
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• 2014

3차원 영상 제작을 위해서는 장면의 색상 영상과 함께 깊이 정보가 필요하다. 일반적으로 깊이를 측정하는 TOF 카메라에 의해 획득된 깊이 영상은 컬러 영상에 비해 매우 작은 해상도의 영상을 갖게 되는 문제가 있다. 따라서 색상 영상과 함께 3차원 영상 제작에 깊이 영상을 사용하기 위해서는 저해상도 깊이 영상의 업샘플링 방법이 필요하다. 특히 컬러 영상에서 사물 간의 경계에 해당하는 부분에서 색상 차이를 인지하지 못하여 깊이 맵을 부적절하게 처리하게 되는 경우가 발생한다. 본 논문에서는 색상 영상에서 경계부분에 해당하는 영역을 이용하여 저해상도 깊이 영상을 업샘플링 하는 방법을 제안한다. 깊이 영상을 업샘플링 할 때 중요하게 다루어야 할 경계 부분을, 고해상도 색상 영상과 저해상도 깊이 영상을 이용하여 찾아낸다. 색상 경계 부분을 고려하여 깊이 영상 업샘플링을 위한 에너지 함수를 MRF를 이용하여 모델링하고, 신뢰 확산(belief propagation)방법을 이용하여 에너지 함수 최적화를 수행한다. 제안한 방법은 기존의 다른 에너지 함수나 필터 기반 업샘플링 방법보다 우수한 성능을 나타내었다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.10
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• pp.875-880
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• 2013

When we generate 3D video that provides immersive and realistic feeling to users, depth information of the scene is essential. Since the resolution of the depth map captured by a depth sensor is lower than of the color image, we need to upsample the low-resolution depth map for high-resolution 3D video generation. In this paper, we propose a depth upsampling method using depth-discontinuity information. Using the high-resolution color image and the low-resolution depth map, we detect depth-discontinuity regions. Then, we define an energy function for the depth map upsampling and optimize it using the belief propagation method. Experimental results show that the proposed method outperforms other depth upsampling methods in terms of the bad pixel rate.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2004.05b
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• pp.623-626
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• 2004

The purpose of this paper is to determinate and to confirm p-n junction depth with nondestructive method by using electron beam. By measuring the critical short circuit current on the p-n junction which induced by electron beam and calculating generation range, the diffusion depth can be obtained. It ran be seen that values destructively measured by constant angle lapping and nondestructively by this study almost concur. As this result, it is purposed that diffusion depth of p-n junction can be easily measured by non-destruction. And this nondestructive method ran be recommended highly to the industrial analysis.

• Journal of the Korea Computer Graphics Society
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• v.20 no.2
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• pp.1-11
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• 2014

The quality of 2D-to-3D conversion depends on the accuracy of the assigned depth to scene objects. Manual depth painting for given objects is labor intensive as each frame is painted. Specifically, a human is one of the most challenging objects for a high-quality conversion, as a human body is an articulated figure and has many degrees of freedom (DOF). In addition, various styles of clothes, accessories, and hair create a very complex silhouette around the 2D human object. We propose an efficient method to estimate visually pleasing depths of a human at every frame in a monocular video. First, a 3D template model is matched to a person in a monocular video with a small number of specified user correspondences. Our pose estimation with sequential joint angular constraints reproduces a various range of human motions (i.e., spine bending) by allowing the utilization of a fully skinned 3D model with a large number of joints and DOFs. The initial depth of the 2D object in the video is assigned from the matched results, and then propagated toward areas where the depth is missing to produce a complete depth map. For the effective handling of the complex silhouettes and appearances, we introduce a partial depth propagation method based on color segmentation to ensure the detail of the results. We compared the result and depth maps painted by experienced artists. The comparison shows that our method produces viable depth maps of humans in monocular videos efficiently.

• Economic and Environmental Geology
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• v.53 no.1
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• pp.99-110
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• 2020

It is a global trend to consider contaminated low-permeability zones as one of the primary management targets for the remediation of DNAPL contaminated sites. In addition, studies on the persistence caused by back diffusion of DNAPLs from low-permeability zones have been actively conducted worldwide. On the other hand, the studies for domestic groundwater contamination with the low-permeability zones are insufficient. Therefore, this study introduces the forward and back diffusions of DNAPL through low-permeability zones and suggests the importance of them by reviewing representative previous studies, especially on back diffusion and plume persistence. We proposed six diffusion scenarios and analytical solutions based on various boundary conditions of low-permeability zones. FI (forward diffusion into infinite domain) and BI (back diffusion form infinite domain) scenarios illustrate forward and back diffusion in which the depths of a low-permeability layer are assumed to be infinite. FFN (forward diffusion into finite domain with no flux boundary) and BFN (back diffusion from finite domain with no flux boundary) scenarios describe forward and back diffusion for a finite domain of a low-permeability layer with no flux boundary at the bottom. When the bottom of a low-permeability layer is considered as flux boundary, forward and back diffusion scenarios correspond to FFF (forward diffusion into finite domain with flux boundary) and BFF (back diffusion from finite domain with flux boundary). The scenarios and analytical solutions in this study may contribute to the determination of an efficient remediation method based on site characteristics such as a thickness of low-permeability zones or duration of contamination exposure.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.235-235
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• 2021

아시아 몬순기후의 영향에 의해 우리나라는 2020년 7월부터 9월까지 약 90일간의 장마로 인해 크고 작은 수재해가 발생하였다. 특히, 안성, 충주, 음성 그리고 곡성 등에서 인명피해가 발생하였으며, 그 외 13개소에서 많은 재산 피해가 발생하였다. 2020년 산사태/토석류 재해로 인한 전국적인 피해액은 약 3,900억으로 보고되고 있으며, 매년 집중호우에 의해 피해 양상이 변하고, 도시지역에서의 발생이 빈번하게 늘고 있다. 집중호우에 의한 산사태/토석류 전이 피해를 저감시키기 위해서는 발생 물질이 어디까지 이동할 수 있는지에 대한 위험범위확산에 대한 연구가 중요하며, 이런 연구를 기반으로 인명피해를 줄이기 위한 연구가 필요하다. 이를 위해 본 연구에서는 천수방정식, 유변학특성 식 그리고 연행침식 식을 조합하여 개발된 적응형 격자기반 2차원 토석류 모델을 이용하여 안성, 음성 그리고 단성지역에서 발생했었던 산사태/토석류 전이 피해 양상을 해석하였다. 산사태 발생 후 2~3일 이내에 지표 지질 및 지형 조사를 실시하였으며, UAV 및 항공사진을 이용하여 산사태 및 토석류의 형태를 맵핑하였다. 지질 및 지형조사 시 간이 Vein tester를 이용하여 야외에서 토양 물성관련 자료를 취득하였으며, 토석류의 이동 흔적(나무 등에의 토석류 타격 흔적)을 이용하여 조사지점에서의 최대 토석류 흐름 깊이를 추정하였다. 정확한 토석류의 유속에 대한 자료 부족으로 2011년 우면산에서 발생한 약 26m/s의 속도를 이용하여 토석류의 흐름 특성을 계산하였다. 이와 더불어 연행침식의 계산을 위해 발생지점 부터 토석류가 퇴적된 하류부까지 기반암의 노출 및 퇴적 정보를 통해 최대 침식 깊이를 추정하여 입력자료로 활용하였다. 토석류 맵핑자료와 비교 결과 정확도가 90%이상으로 나타났으며, 토석류 발생 후 안성 200초, 음성 180초 그리고 단성 180초 이내로 토석류가 하류까지 이동할 수 있는 것으로 계산되었다. 본 연구와 같이 산사태/토석류 발생 메커니즘 해석에 대한 지속적인 연구를 통해 산지 재해에 의한 인명 피해를 줄일 수 있는 토석류확산범위 해석에 대한 연구가 지속적으로 필요할 것으로 판단된다.

• Journal of Broadcast Engineering
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• v.16 no.1
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• pp.44-53
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• 2011

In this paper, we propose a 3D conversion algorithm of 2D video using depth layer partition method. In the proposed algorithm, we first set frame groups using cut detection algorithm. Each divided frame groups will reduce the possibility of error propagation in the process of motion estimation. Depth image generation is the core technique in 2D/3D conversion algorithm. Therefore, we use two depth map generation algorithms. In the first, segmentation and motion information are used, and in the other, edge directional histogram is used. After applying depth layer partition algorithm which separates objects(foreground) and the background from the original image, the extracted two depth maps are properly merged. Through experiments, we verify that the proposed algorithm generates reliable depth map and good conversion results.