• Journal of KIISE:Software and Applications
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• v.33 no.3
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• pp.335-343
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• 2006

This paper proposes a novel technique of marker-based 2D-3D registration to combine 3D information obtained from preoperative CT images into 2D image obtained from intraoperative x-ray fluoroscopy image. Our method is divided into preoperative and intraoperative procedures. In preoperative procedure, we generate CT-derived DRRs using graphics hardware and detect markers automatically. In intraoperative procedure, we propose a hierarchical two- step registration to reduce a degree of freedom from 6-DOP to 2-DOF which is composed of in-plane registration using principal axis method and out-plane registration using minimal error searching method in spherical coordinate. For experimentation, we use cardiac phantom datasets with confirmation markers and evaluate our method in the aspects of visual inspection, accuracy and processing time. As experimental results, our method keeps accuracy and aligns very fast by reducing real-time computations.

• Journal of Digital Contents Society
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• v.15 no.4
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• pp.521-526
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• 2014

The purpose of this study is to propose the efficient method of 3D data registration. Three-dimensional data including the two-dimensional image acquisition apparatus and the position information are acquired at an arbitrary angle with each other. This paper proposes the more accurate and faster matching method by using this information. Four image points founded from 2D images match the volumetric size of the model and compute the homography of the axis for registration between two 3D data sets. The advantages of the proposed algorithm are the repeating process is unnecessary and the process time is faster than prvious method.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.1
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• pp.35-41
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• 2020

3D laser scanners are an effective way to quickly acquire a large amount of data about an object. Recently, it is used in various fields such as surveying, displacement measurement, 3D data generation of objects, construction of indoor spatial information, and BIM(Building Information Model). In order to utilize the point cloud data acquired through the 3D laser scanner, it is necessary to make the data acquired from many stations through a matching process into one data with a unified coordinate system. However, analytical researches on the accuracy of point cloud data according to the registration method are insufficient. In this study, we tried to analyze the accuracy of registration method of point cloud data acquired through 3D laser scanner. The point cloud data of the study area was acquired by 3D laser scanner, the point cloud data was registered by the ICP(Iterative Closest Point) method and the shape registration method through the data processing, and the accuracy was analyzed by comparing with the total station survey results. As a result of the accuracy evaluation, the ICP and the shape registration method showed 0.002m~0.005m and 0.002m~0.009m difference with the total station performance, respectively, and each registration method showed a deviation of less than 0.01m. Each registration method showed less than 0.01m of variation in the experimental results, which satisfies the 1: 1,000 digital accuracy and it is suggested that the registration of point cloud data using ICP and shape matching can be utilized for constructing spatial information. In the future, matching of point cloud data by shape registration method will contribute to productivity improvement by reducing target installation in the process of building spatial information using 3D laser scanner.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04c
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• pp.190-192
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• 2003

본 논문은 캘리브레이션 정보를 모르는 카메라로부터 얻은 시퀀스 영상에서 공간상에서 평면인 물체의영상 정보를 이용하여 카메라 내부 및 외부 파라미터를 추정하고, 이를 이용하여 가상의 3D 그래픽을 시퀀스 영상에 정합하는 방법을 제안한다. 제안된 방법은 기존의 방법에 비해 손쉽게 이미지에 가상의 3D 그래픽 오브젝트를 정합할 수 있으며, 눈에 보이는 정합오차를 최소화하며 DirectX와 같은 3D 그래픽 툴과 쉽게 연동이 되는 장정이 있다. 본 연구는 비디오와 같은 영상에 3D 영상을 합성하는 대화형 비디오 컨텐트 개발에 활용할 수 있을 것으로 기대된다.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.9 no.2
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• pp.171-178
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• 1998

Generally, the output matching circuit has the most influence to the output power of oscillator and existing method for output matching has difficulty for making the optimum output matching circuit because the matching has to be done nearby the infinite impedance area of the Smith Chart. In this paper, it is studied for the output matching circuit of the microwave oscillator to get the maximum output power. The maximum output point can be found by adjusting the position of moving short in the Tuner while the oscillator is operating after connect the 3-dB coupler Tuner to the oscillator without output matching circuit. To design the oscillator for the maximum output power can be done easily with the microstrip line which is realized from the measured S-parameters of Tuner. In compare the oscillator by the existing method with another one by the suggested method in this paper, the first one has 6.45 dBm output power and second one has 9.71 dBm which is 3.26 dBm higher than the first one at the oscillation frequency 1.0338 GHz.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.12
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• pp.663-670
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• 2016

This paper proposes the 3D-modeling-based image template matching method. It is more convenient than contemporary 2D-template-based methods that use many 2D image templates for possible angles and sizes in matching process.

• The Journal of the Korea Contents Association
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• v.3 no.3
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• pp.85-97
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• 2003

Medical tomography images like CT, MRI, PET, SPECT, fMRI, ett have been widely used for diagnosis and treatment of a patient and for clinical study in hospital. In many cases, tomography images are scanned in several different modalities or with time intervals for a single subject for extracting complementary information and comparing one another. 3D image registration is mapping two sets of images for comparison onto common 3D coordinate space, and may be categorized to marker -based matching and feature-based matching. 3D registration of brain images has an important role for visual and quantitative analysis in localization of treatment area of a brain, brain functional research, brain mapping research, and so on. In this article, marker-based and feature-based matching methods which are often used are introduced.

• Journal of Korea Multimedia Society
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• v.16 no.12
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• pp.1454-1464
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• 2013

In this paper, we propose a rapid rigid registration method for the fusion visualization of intra-operative 2D XA and pre-operative 3D CTA images. In this paper, we propose a global movement estimation based on a trilateration for the fast and robust initial registration. In addition, the principal axis of each image is generated and aligned, and the bounding box of the vascular shape is compared for more accurate initial registration. For the fine registration, two images are registered where the distance between two vascular structures is minimized by selective distance measure. In the experiment, we evaluate a speed, accuracy and robustness using five patients' data by comparing the previous registration method. Our proposed method shows that two volumes can be registered at optimal location rapidly, and robustly comparing with the previous method.

• Proceedings of the Korean Information Science Society Conference
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• 2000.04b
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• pp.595-597
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• 2000

3차원 정보의 올바른 정합을 위해서 3차원 정보 자신 뿐만이 아니라 3차원 정보와 연관된 영상 정보를 이용한다. 먼저 영상의 정합을 수행함에 있어 서로 다른 두 영상간에 상관 윈도우를 씌워 상관계수를 계산하여 최적 정합점을 탐색한다. 본 논문에서는 카메라의 서로 다른 관점으로 인한 상관위도우의 뒤틀림을 3차원 초기 변환 행렬을 이용하여 보정하는 방법을 제안하고, 이에 의해 3차원 변환된 상관 윈도우를 정합에 이용함으로서 상관계수의 정확도를 급격히 향상시킨다. 그 결과로 개선된 특징점 정합 결과로부터 영상 전반에 걸친 3차원 특징점 정합을 통해 이와 대응하는 3차원 정보의 정확한 정합 결과를 얻는다.

• Spatial Information Research
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• v.14 no.4 s.39
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• pp.403-419
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• 2006

The well-blown address matching technology developed by the U.S. Census Bureau was applicable only for street addresses. However, many other addressing systems on the basis of a hierarchy of areas (hierarchical areal addressing system), such as Korean or Japanese addressing system, cannot be suitable for the existing address matching method. This paper, therefore, develops an areal address matching method, especially for Korean addressing system, in order to geocode 2D and 3D locational data of human activities. Thus, this study explains a new approach to dealing with 3D positioning method composed of two geocoding methods, which are a '2D Korean Address Matching' technique and a '3D Address Matching' technique.