• 한국컴퓨터그래픽스학회논문지
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• 제18권2호
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• pp.63-72
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• 2012

BIM(Building Information Modeling)과 같은 기법이 건축물 생산 과정에 널리 사용되면서 건축 모델을 현실감 있게 체험할 수 있는 방법의 필요성이 커지고 있다. 본 논문에서는 시각적 인지를 고려한 가상 건축물의 스테레오 내비게이션 방법을 제안한다. 먼저 스테레오 건축물을 내비게이션할 때 발생할 수 있는 시각적 불편함에 대해 분석하고, 이를 해결하기 위해 가상 카메라 간격을 자동으로 조절하는 방법을 개발한다. 또한 각 사용자의 깊이감에 대한 최소한의 자극 차이(Just Noticeable Difference)를 측정하고 그 결과를 가상 카메라의 간격과 움직임을 조절하는데 적용한다. 제안된 방법은 사용자에게 적합한 스테레오 콘텐츠를 생성함으로써 다양한 건축 응용에 사용될 수 있다.

• 대한기계학회논문집B
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• 제27권6호
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• pp.736-743
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• 2003

A process of 3-D particle image velocimetry, called here, as '3-D stereo PIV' was developed for the measurement of an illuminated slied section field of 3-D complex flows. The present method includes modeling of camera by a calibrator based on the homogeneous coordinate system, transfromation of the oblique-angled image to the right-angled image, identification of 2-D velocity vectors by 2-D cross-correlation equation, stereo matching of 2-D velocity vectors of two cameras, accurate calculation of 3-D velocity vectors by homogeneous coordinate system, removal of error vectors by a statistical method followed by a continuity equation criterior, and finally 3-D animation as the post processing. An experimental system was also used for the application of the proposed method. Three analog CCD cameras and an Argon-Ion Laser(300mW) for illumination were adopted to capture the wake flow behind a bluff obstacle.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2003년도 추계학술대회
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• pp.658-663
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• 2003

A process of 3-D stereo particle image velocimetry(PIV)was developed for the measurement of an illuminated sliced section field of 3-D complex flows. The present method includes modeling of camera by a calibrator based on the homogeneous coordinate system, transformation of the oblique-angled image to the right-angled image, identification of 2-D velocity vectors by 2-D cross-correlation equation, stereo matching of 2-D velocity vectors of two cameras, accurate calculation of 3-D velocity vectors by homogeneous coordinate system, removal of error vectors by a statistical method followed by a continuity equation criteria, and finally 3-D display as the post processing. An experimental system was also used for the application of the proposed method. Two high speed digital CCD cameras and an Argon-Ion Laser for the illumination were adopted to clarify the time-dependent characteristics of the leading edge extension(LEX) in a highly swept shape applied to a delta wing found in modern air-fighters.

• Spatial Information Research
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• 제12권2호
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• pp.137-149
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• 2004

지금까지 3차원 지리 공간 구성을 위해서는 2D 지리 데이터로부터 수작업으로 건물의 프레임을 만들고 단면 영상을 붙여서 건물을 모델링하였다. 본 논문에서는 지도 데이터의 표준으로 사용되고 있는 수치지도와 임의의 위치에서 입력된 건물의 영상을 이용하여 3D 지리공간을 자동으로 구성하는 지리 모델링 시스템을 제안한다. 먼저 OpenGL을 이용하여 가상공간에 지형을 TIN과 DEM 방법으로 형상화한다. 건물을 모델링하기 위해 임의의 위치에서 카메라로 입력한 건물 영상으로부터 건물의 단면 영상을 추출하고, 검출된 수직선으로부터 카메라의 위치를 자동으로 추정하고, 건물의 높이를 계산하고, 얻어진 단면영상과 texture 맵핑을 하여 실제 공간에 가까운 3D 지리공간을 자동적으로 구성한다. 제안한 방법을 실제 지역에 적용하여 제안한 지리 모델링 시스템의 효율성을 보인다.

• 한국가시화정보학회:학술대회논문집
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• 한국가시화정보학회 2002년도 추계학술대회 논문집
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• pp.19-22
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• 2002

A process of 3-D particle image velocimetry, called here, as '3-D stereo PIV' was developed for the measurement of a section field of 3-D complex flows. The present method includes modeling of camera by a calibrator based on the homogeneous coordinate system, transfromation of oblique-angled image to transformed image, identification of 2-D velocity vectors by 2-D cross-correlation equation, stereo matching of 2-D velocity vectors of two cameras, accurate calculation of 3-D velocity vectors by homogeneous coordinate system and finally 3-D animation as the post processing. In principle, as two frame images only are necessary for the single instantaneous analysis of a section field of 3-D flow, more effective vectors are obtainable contrary to the previous multi-frame vector algorithm. An experimental system was also used for the application of the proposed method. Three analog CCD cameras and an Argon-Ion Laser(300mW) for illumination were adopted to capture the wake flow behind a bluff obstacle.

• 대한원격탐사학회지
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• 제26권6호
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• pp.629-644
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• 2010

A real-time image georeferencing system requires all inputs to be determined in real-time. The intrinsic camera parameters can be identified in advance from a camera calibration process while other control information can be derived instantaneously from real-time GPS/INS data. The bottleneck process is tie point acquisition since manual operations will be definitely obstacles for real-time system while the existing extraction methods are not fast enough. In this paper, we present a fast-and-automated image matching technique based on the KLT tracker to obtain a set of tie-points in real-time. The proposed work accelerates the KLT tracker by supplying the initial guessed tie-points computed using the GPS/INS data. Originally, the KLT only works effectively when the displacement between tie-points is small. To drive an automated solution, this paper suggests an appropriate number of depth levels for multi-resolution tracking under large displacement using the knowledge of uncertainties the GPS/INS data measurements. The experimental results show that our suggested depth levels is promising and the proposed work can obtain tie-points faster than the ordinary KLT by 13% with no less accuracy. This promising result suggests that our proposed algorithm can be effectively integrated into the real-time image georeferencing for further developing a real-time surveillance application.

• 한국산업정보학회논문지
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• 제24권5호
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• pp.1-8
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• 2019

본 논문에서는 깊이 영상에서 깊이 카메라의 일시적인 오류로 인해 측정이 되지 않은 깊이 화소의 값을 보정하는 방법을 제안한다. 깊이 영상의 한 블록 내에서 측정이 정상적으로 된 화소의 좌표와 깊이 값을 이용하여, 해당 블록의 깊이 값과 제일 오차가 적은 평면과 곡면을 모델링한다. 그 후 각각의 모델링된 표면을 통해 추정된 깊이 값과 원래 측정된 깊이 값을 비교하여 오차를 계산한다. 그 후 오차가 제일 작게 계산된 표면을 선택한 후, 측정에 실패한 깊이 화소를 선택된 모델링 표면을 통해 깊이 값을 추정함으로써 보정한다. 모의실험 결과 제안된 방법을 통한 보정방법은 $5{\times}5$ 영역의 중간 값을 이용한 보정방법에 비해 보정 성능이 평균 20% 개선되었음을 확인하였다.

• Nuclear Engineering and Technology
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• 제53권6호
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• pp.1947-1954
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• 2021

In the nuclear medicine imaging, quality control (QC) process using quadrant bar phantom is fundamental aspect of evaluating the spatial resolution. In addition, QC process of gamma camera is performed by daily or weekly. Recently, Monte Carlo simulation using the Geant4 application for tomographic emission (GATE) is widely applied in the pre-clinical nuclear medicine field for modeling gamma cameras with pixelated cadmium telluride (CdTe) semiconductor detector. In this study, we modeled a pixelated CdTe semiconductor detector and quadrant bar phantom (0.5, 1.0, 1.5, and 2.0 mm bar thicknesses) using the GATE tool. Similarity analysis based on correlation coefficients and peak signal-to-noise ratios was performed to compare image qualities for various source to collimator distances (0, 2, 4, 6, and 8 cm) and collimator lengths (0.2, 0.4, 0.6, 0.8, and 1.0 cm). To this end, we selected reference images based on collimator length and source to collimator distance settings. The results demonstrate that as the collimator length increases and the source to collimator distance decreases, the similarity to reference images improves. Therefore, our simulation results represent valuable information for the modeling of CdTe-based semiconductor gamma imaging systems and QC phantoms in the field of nuclear medicine.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.383-388
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• 2005

Depth recovery in robot vision is an essential problem to infer the three dimensional geometry of scenes from a sequence of the two dimensional images. In the past, many studies have been proposed for the depth estimation such as stereopsis, motion parallax and blurring phenomena. Among cues for depth estimation, depth from lens translation is based on shape from motion by using feature points. This approach is derived from the correspondence of feature points detected in images and performs the depth estimation that uses information on the motion of feature points. The approaches using motion vectors suffer from the occlusion or missing part problem, and the image blur is ignored in the feature point detection. This paper presents a novel approach to the defocus technique based depth from lens translation using sequential SVD factorization. Solving such the problems requires modeling of mutual relationship between the light and optics until reaching the image plane. For this mutuality, we first discuss the optical properties of a camera system, because the image blur varies according to camera parameter settings. The camera system accounts for the camera model integrating a thin lens based camera model to explain the light and optical properties and a perspective projection camera model to explain the depth from lens translation. Then, depth from lens translation is proposed to use the feature points detected in edges of the image blur. The feature points contain the depth information derived from an amount of blur of width. The shape and motion can be estimated from the motion of feature points. This method uses the sequential SVD factorization to represent the orthogonal matrices that are singular value decomposition. Some experiments have been performed with a sequence of real and synthetic images comparing the presented method with the depth from lens translation. Experimental results have demonstrated the validity and shown the applicability of the proposed method to the depth estimation.

• 로봇학회논문지
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• 제3권3호
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• pp.194-202
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• 2008

This paper describes a new method for indoor environment mapping and localization with stereo camera. For environmental modeling, we directly use the depth and color information in image pixels as visual features. Furthermore, only the depth and color information at horizontal centerline in image is used, where optical axis passes through. The usefulness of this method is that we can easily build a measure between modeling and sensing data only on the horizontal centerline. That is because vertical working volume between model and sensing data can be changed according to robot motion. Therefore, we can build a map about indoor environment as compact and efficient representation. Also, based on such nodes and sensing data, we suggest a method for estimating mobile robot positioning with random sampling stochastic algorithm. With basic real experiments, we show that the proposed method can be an effective visual navigation algorithm.