• 방송공학회논문지
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• 제26권1호
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• pp.70-78
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• 2021

2차원 단일 영상에서 3차원 깊이 정보를 복원하는 기술은 다양한 한계 및 산업계에서 활용도가 매우 높은 기술임이 분명하다. 하지만 2차원 영상은 임의의 3차원 정보의 투사의 결과라는 점에서 내재적 깊이 모호성(Depth ambiguity)을 가지고 있고 이를 해결하는 문제는 매우 도전적이다. 이러한 한계점은 최근 인공지능 기술의 발달에 힘입어 2차원 영상과 3차원 깊이 정보간의 대응 관계를 학습하는 알고리즘의 발달로 극복되어 지고 있다. 이러한 3차원 깊이 정보 획득을 위한 인공지능 기술을 학습하기 위해서는 대응 관계를 나타내는 대규모의 학습데이터의 필요성이 절대적인데, 이러한 데이터는 취득 및 가공 과정에서 상당한 노동력을 필요로 하기에 제한적으로 구축이 가능하다. 따라서 최근의 기술 발전 동향은 대규모의 2차원 영상과 메타 데이터를 활용하여 3차원 깊이 정보를 예측하려는 약교사(Weakly-supervised) 인공지능 기술의 발전이 주를 이루고 있다. 본 고에서는 이러한 기술 발전 동향을 장면(Scene) 3차원 복원 기술과 객체(Object) 3차원 복원 기술로 나누어 요약하고 현재의 기술들의 한계점과 향후 나아갈 방향에 대해서 토의한다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 하계학술대회 논문집 G
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• pp.2489-2491
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• 1998

The study of 3D image reconstruction re has developed along the progress of computer. Therfore Great deal of research on it have been done. 3D medical image reconstruction techniques are useful to figure out human's complex 3D structures from the set of 2D section. But 3D medical image reconstruction require a lot of calculation, it takes long time and expensive system. That gives a reason to the improvement of study on speed. In this paper. applying the interpolation to only the part which can appear as cube, I come up with a method that calculates the speed by reducing the a mount of calculation.

• 한국멀티미디어학회논문지
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• 제22권10호
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• pp.1142-1148
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• 2019

Reconstruction of the three-dimensional (3D) environment is a key aspect of augmented reality and augmented virtuality, which utilize and incorporate a user's surroundings. Such reconstruction can be easily realized by employing a Kinect device. However, multiple Kinect devices are required for enhancing the reconstruction density and for spatial expansion. While employing multiple Kinect devices, they must be calibrated with respect to each other in advance, and a marker is often used for this purpose. However, a marker needs to be placed at each calibration, and the result of marker detection significantly affects the calibration accuracy. Therefore, a user-friendly, efficient, accurate, and marker-less method for calibrating multiple Kinect devices is proposed in this study. The proposed method includes a joint tracking algorithm for approximate calibration, and the obtained result is further refined by applying the iterative closest point algorithm. Experimental results indicate that the proposed method is a convenient alternative to conventional marker-based methods for calibrating multiple Kinect devices. Hence, the proposed method can be incorporated in various applications of augmented reality and augmented virtuality that require 3D environment reconstruction by employing multiple Kinect devices.

• 한국통신학회논문지
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• 제31권4C호
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• pp.381-390
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• 2006

본 논문에서는 비 교정 영상에서 3장의 평면 패턴 영상들을 위치시켜, 한 장의 영상으로 찍어 얻은 영상으로부터 이들 평면 패턴 영상 간에 호모그래피(homography)로 카메라 교정을 하는 새로운 기법이 제안된다. 비교정 영상에서 3차원 재구성을 하려면 카메라 교정이 필수적이다. 제안된 방법은 대상 영상내에 존재하는 패턴 영상 간에 호모그래피를 계산함으로써, 3차원 재구성 시, 보다 쉽고 간단히 구현한다. 실험 결과는 제안된 방법(한 장내에 3장의 패턴영상 사용에 의한 카메라 교정법이 기존 방법(3장의 패턴영상 사용에 비해 매우 유용함을 확인한다. 또한, 비 교정 입력 영상에서 제안된 알고리즘을 이용한3차원 재구성의 예로 증명한다.

• Journal of International Society for Simulation Surgery
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• 제2권2호
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• pp.90-93
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• 2015

The fibula free flap has now become the most reliable and frequently used option for mandible reconstruction. Recently, three dimensional images and printing technologies are applied to mandibular reconstruction. We introduce our recent experience of mandibular reconstruction using three dimensionally planned fibula free flap in a patient with gunshot injury. The defect was virtually reconstructed with three-dimensional image. Because bone fragments are dislocated from original position, relocation was necessary. Fragments are virtually relocated to original position using mirror image of unaffected right side of the mandible. A medical rapid prototyping (MRP) model and cutting guide was made with 3D printer. Titanium reconstruction plate was adapted to the MRP model manually. 7 cm-sized fibula bone flap was designed on left lower leg. After dissection, proximal and distal margin of fibula flap was osteotomized by using three dimensional cutting guide. Segmentation was also done as planned. The fibula bone flap was attached to the inner side of the prebent reconstruction plate and fixed with screws. Postoperative evaluation was done by comparison between preoperative planning and surgical outcome. Although dislocated condyle is still not in ideal position, we can see that reconstruction was done as planned.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2004년도 학술대회지
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• pp.804-809
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• 2004

It is essential to calibrate a camera in order to recover 3-dimensional reconstruction from uncalibrated images. This paper proposes a new technique of the camera calibration using a homography between the planar patterns image taken by the camera, which is located at the three planar patterns image. Since the proposed method should be computed from the homography among the three planar patterns from a single image, it is implemented more easily and simply to recover 3D object than the conventional. Experimental results show the performances of the proposed method are the better than the conventional. We demonstrate the examples of 3D reconstruction using the proposed algorithm from image sequence.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.470-473
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• 2005

This paper proposes a reconstruction method for the shape and color information of 3-dimensional buildings. The proposed method is range scanning by laser range finder and image coordinates' color information mapping to laser coordinate by a fixed CCD camera on laser range finder. And we make a 'Far-View' using high-resolution satellite image. The 'Far-View' is created that the height of building using DEM after contours of building extraction. The user select a region of 'Far View' and then, appear detailed 3D-reconstruction of building The outcomes apply to city plan, 3D-environment game and movie background etc.

• ETRI Journal
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• 제42권3호
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• pp.420-432
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• 2020

The reconstruction of archaeological fragments in 3D geometry is an important problem in pattern recognition and computer vision. Therefore, we implement an algorithm with the help of a 3D model to perform reconstruction from the real datasets using the slope features. This approach avoids the problem of gaps created through the loss of parts of the artifacts. Therefore, the aim of this study is to assemble the object without previous knowledge about the form of the original object. We utilize the edges of the fragments as an important feature in reconstructing the objects and apply multiple procedures to extract the 3D edge points. In order to assign the positions of the unknown parts that are supposed to match, the contour must be divided into four parts. Furthermore, to classify the fragments under reconstruction, we apply a backpropagation neural network. We test the algorithm on several models of ceramic fragments. It achieves highly accurate results in reconstructing the objects into their original forms, in spite of absent pieces.

• ETRI Journal
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• 제28권4호
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• pp.521-524
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• 2006

In this letter, we propose a novel computational integral imaging reconstruction technique based on a lenslet array model. The proposed technique provides improvement of viewing images by extracting multiple pixels from elemental images according to ray tracing based on the lenslet array model. To show the feasibility of the proposed technique, we analyze it according to ray optics and present the experimental results.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2009년도 춘계학술발표대회
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• pp.71-74
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• 2009

The data-flow paradigm has been employed in various application areas. It is particularly useful where large data-streams must be processed, for example in video and audio processing, or for scientific visualization. A video-based 3D reconstruction system should process multiple synchronized video streams. The system exhibits many properties that can be targeted using a data-flow approach that is naturally divided into a sequence of processing tasks. In this paper we introduce our concept to apply the data-flow approach to a multi-video 3D reconstruction system.