• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2018.11a
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• pp.66-68
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• 2018

본 논문에서는 비디오로부터 추출된 프레임에서 3D 인체 모델의 복원하고 이를 부드럽게 재생될 수 있도록 보정하는 기법을 제안한다. 매개변수 기반의 모델을 사용하여 자세 및 체형을 복원하도록 접근하고 있다. 매개변수 기반의 인체 모델은 다양한 인체 데이터의 학습을 통해 만들어지며 입력 영상으로부터 최적의 자세와 체형 매개변수 값을 찾아 복원하게 된다. 자세 복원은 CNN 을 사용하여 영상으로부터 인체의 관절 위치를 추정하고 3D 모델로부터 2D 로 투영을 통해 관절 간의 거리가 최소화되는 매개변수 값을 찾아 복원한다. 형상 복원은 2D 영상으로부터 취득된 사람의 윤곽 데이터와 3D 모델의 윤곽 데이터 간의 매칭을 통해 복원된다. 이러한 단일 입력 영상에서 비디오와 같은 다중 입력 영상으로 확장하여 칼만 필터를 적용하여 오류 프레임을 검출하고 이전, 이후 프레임의 매개변수와의 보간을 통해 보다 자연스럽고 정확한 모델을 생성한다.

• Electronics and Telecommunications Trends
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• v.31 no.4
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• pp.36-43
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• 2016

실 환경에 존재하는 모든 것을 3차원 모델로 쉽게 복원할 수 있을 것이라는 생각과 원격지에 있는 환경과 사람을 같은 공간에 있는 듯 상호작용할 수 있게 된 것은 그리 오래되지 않았다. 이는 일정 해상도를 보장해주는 RGB-D 센서의 개발과 이러한 센서들을 사용한 3차원 복원 관련 연구들이 활발히 수행되면서 가능하게 되었다. 본고에서는 널리 쓰이고 있는 RGB-D 카메라를 사용하여 실시간으로 때로는 온라인상에서 3차원으로 복원하고 가시화하는 기술에 대하여 살펴보고자 한다. 하나 또는 여러 개의 RGB_D 카메라를 사용하거나 모바일 장치에 장착된 RGB-D 센서를 사용하여 넓은 공간, 움직이는 사람, 온라인 상태의 환경 등을 실시간으로 복원하기 위한 기술들을 세부적으로 설명한다. 또한, 최근에 발표된 기술들이 다루고 있는 이슈들을 설명하고 향후 3차원 복원기술의 연구개발 방향에 대해서 논의한다.

• Korean Journal of Heritage: History & Science
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• v.55 no.3
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• pp.6-20
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• 2022

The restoration of cultural heritage materials is an important research theme. This study improved the existing cultural heritage restoration method and attempted to establish a restoration system for cultural heritage data based on historical documents and visual materials. Recognizing the limitations of existing studies, this paper attempted to restore cultural heritage data through interdisciplinary research. In addition, 3D restoration was carried out after restoration in 2D form based on literature documents rather than existing visual sources. The object of restoration that was selected was "Jeol," which represents the power of the king of Koguryo. Koguryo's Jeol is a type of flag. Jeol appears in the mural in Anak Tomb No. 3. Rather than using only photographic materials of murals, the restoration was carried out through cross-validation of literature data and materials on archaeological art history. This is important in that the restoration carried out in this study is an accurate restoration with a historical understanding based on the literature of the relevant cultural heritage. In this study, a restoration process based on historical records was established. A 3D restoration process was performed by adding and applying visual materials after the object was first shaped based on the literature data. Restoration based on literature and visual materials was carried out based on interdisciplinary research. Therefore, this study aims to build a digital restoration system for cultural heritages and to contribute to spreading the 3D digital restoration research of cultural heritages that can be applied to various platforms.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.4 s.316
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• pp.1-7
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• 2007

In this paper, we analyze geometrical relations of 3D shape reconstruction from 2D images taken under anne projection. The purpose of this research is to contribute to more accurate 3-D reconstruction under noise distribution by analyzing geometrically the 2D to 3D relationship. In situation for no missing feature points (FPs) or no noise in 2D image plane, the accurate solution of 3D shape reconstruction is blown to be provided by Singular Yalue Decomposition (SVD) factorization. However, if several FPs not been observed because of object occlusion and image low resolution, and so on, there is no simple solution. Moreover, the 3D shape reconstructed from noise-distributed FPs is peturbed because of the influence of the noise. This paper focuses on analysis of geometrical properties which can interpret the missing FPs even though the noise is distributed on other FPs.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.374-375
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• 2022

Recently, Metaverse service has been widely used to naturally communicate with a remote location, freeing from time and spatial constraints. In order to produce such contents, it is necessary to restore and synthesize a 3D model based on real space data. In this paper, a 3D-generated reconstruction model is produced based on continuous images using multiple cameras and a technique to correct the reconstructed 3D model is presented. For this. offline multi-camera setup was performed, errors were analyzed on the 3D model created through images obtained from various angles, and correction was performed using a matching technique between image frames. It is expected that 3D reconstructed data can be utilized in various service fields such as culture, tourism, and medical care.

• Journal of Korea Multimedia Society
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• v.15 no.3
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• pp.408-416
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• 2012

As increasing interests for cultural content, 3D restoration about the valuable traditional architectures is in progress, nowadays. Digital restoration is generally performed with using new IT technology and equipments such as 3D scanner. From the view points of making better use of the 3D data, the methodology for 3D restoration leaves much room for improvement. When using 3D scanner, it is possible to get precise 3D data for exterior of the building but huge data size and insufficient information for the wooden intra structure might be obstacles for using them as a source of various digital contents. In traditional wooden structure, the binding rules for corresponding architectural components are important factor for realizing the architectural culture at that times. In this paper, we develop a design tool and architectural components reflecting the wooden intra structure. Moreover, we propose a new 3D restoration method from the design tool, which is good for making contents offering useful information for processes of construction and binding rule in a real time just at a glance.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.9C
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• pp.840-848
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• 2007

A multiple description coding (MDC) scheme for 3-D Data is presented. First, a plane-based 3-D data is split into two descriptions, each of which has identical contribution in 3-D surface reconstruction. In order to maximize the visual quality of reconstructed 3-D data, then, plane parameters are modified according to channel error condition. Finally, these descriptions are compressed and transmitted over distinct channels. In decoder, if two descriptions are available, we reconstruct a high quality 3-D data. If only one description is transmitted, however, 3-D surface recovery scheme reduces artifacts on erroneous 3-D surface, yielding a smooth 3-D surface. Therefore, the proposed algorithm guarantees acceptable quality reconstruction of 3-D data even though one channel is totally lost.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.5
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• pp.229-236
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• 2023

Since 3D printed medical implant parts usually have surface defects, it is necessary to inspect the surface after manufacturing. In order to automate the surface inspection, it is effective to 3D scan the implant and reconstruct it as a scan model such as a point cloud. When constructing a scan model, the characteristics of the shape and material of the implant must be considered because it has characteristics different from those of general 3D printed parts. In this paper, we present a method to reconstruct the 3D scan model of a 3D printed metal bone-plate that is one kind of medical implant parts. Multiple partial scan data are produced by multi-view 3D scan, and then, we reconstruct a scan model by alignment and merging of partial data. We also present the process of the scan model reconstruction through experiments.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.323-324
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• 2023

본 논문에서는 다양한 복원 인공지능 알고리즘 중 하나인 3차원 복원 기술은 실제로 존재하는 물체의 2차원적인 픽셀을 3차원의 형태로 구현하여 형상화한다. 정확한 3차원 정보 처리가 요구됨에 따라 포인트 클라우드로 표현되는 데이터를 통해 정확한 쿨체의 크기 정보나 좌표 정보를 표시할 수 있다. 데이터의 픽셀을 분석하여 3차원의 형태로 구현할 것을 정의하는 복셀화(Voxelization) 알고리즘 전처리 과정을 통해 3차원 복원 기술 3D-GAN 활용으로 3차원 형태 형상화를 하였다. 본 논문에서는 3차원 복원 알고리즘 통하여 2차원 포인트 클라우드를 분석해 3차원 형태로 복원하는 기술에 대한 설명한다.

• Electronics and Telecommunications Trends
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• v.27 no.3
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• pp.12-21
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• 2012

최근 3DTV, 입체 모니터, 입체 노트북 등이 출시되고, 3D 영화, 게임 등 3D 관련 산업이 성장하면서 관련 콘텐츠의 요구사항이 증가하고 있다. 특히, 3D 콘텐츠의 주요 요소 중 하나인 인체는 전통적으로 고가의 3D 스캐너를 이용해 모델링하는 방식을 주로 사용해 왔다. 하지만 근래에는 광학 기술 및 컴퓨팅 성능의 향상으로 구조광과 같은 능동 센서나 카메라로부터 획득한 영상을 기반으로 3D 인체 외형을 복원하는 연구가 각광을 받고 있다. 이런 추세에 발맞춰 본고에서는 인체 중에서도 사용자의 민감도가 높은 얼굴의 3D 복원 기술 및 연구 동향을 살펴보고, 다양한 응용을 목적으로 ETRI에서 개발 중인 3D 얼굴 복원 기술을 소개하고자 한다.