• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.155-157
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• 2012

In this paper, we propose a nonlinear 3D image correlator using computational reconstruction of 3D images based on integral imaging. In the proposed method, the elemental images for reference 3D object and target 3D object are recorded through the lens array. The recorded elemental images are reconstructed as reference plane image and target plane images using the computational integral imaging reconstruction algorithm and the nonolinear correlation between them is performed for object recognition. To show the usefulness of the proposed method, the preliminary experiments are carried out and the experimental results are presented compared with the conventional results.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.10
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• pp.1853-1859
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• 2008

In this paper, we propose a novel method to improve the visual quality of reconstructed images for 3D pattern recognition based on the computational integral imaging reconstruction (CIIR). The proposed CIIR method provides improved 3D reconstructed images by superimposing magnified elemental images by a combination of a round mapping model and image interpolation algorithms. To objectively evaluate the proposed method, we introduce an experimental framework for a computational pickup process and a CIIR process using a Gaussian function and evaluate the proposed method. We also carry out experiments on 3D objects and present their results.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.2
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• pp.281-288
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• 2016

The natural moving objects are the most non-rigid shapes with randomly time-varying deformation, and its types also very diverse. Methods of non-rigid shape reconstruction have widely applied in field of movie or game industry in recent years. However, a realistic approach requires moving object to stick many beacon sets. To resolve this drawback, non-rigid shape reconstruction researches from input video without beacon sets are investigated in multimedia application fields. In this regard, our paper propose novel CPSRF(Chained Partial Stereo Rigid Factorization) algorithm that can reconstruct a non-rigid 3D shape. Our method is focused on the real-time reconstruction of non-rigid 3D shape and motion from stereo 2D video sequences per frame. And we do not constrain that the deformation of the time-varying non-rigid shape is limited by a Gaussian distribution. The experimental results show that the 3D reconstruction performance of the proposed CPSRF method is superior to that of the previous method which does not consider the random deformation of shape.

• Journal of Conservation Science
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• v.27 no.2
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• pp.181-190
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• 2011

A precision measurement and digital image restoration of the 5th century's gilt bronze cap of Baekje dynasty, excavated from the ancient tomb of Andong, Goheung in 2006, was undertaken. The objective of the scanning is to preserve precise feature of the artefact in the form of digital data by embodying it in 3 dimensional space. Acquirement of the data has been undertaken in the following process : 3D scanning to obtain 3D shape and color information(original data photographing)-3D modelling(joining original data and restoring non-photographed or damaged area)-CG image production. Production of restoration CG image was based on joined shape of original data and each part's measurement on CAD. Non-photographed part and area of loss was restored referring actual measurement and research result of excavated cap from the 5th to 8th century. 3D image restoration is one of artefact restoration methods which restores artefact without risk. It is also undertaken with historical research. As result, this method can enhance aesthetic and academic value of the artefact by successful restoration.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.24-32
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• 2006

본 논문에서는 다시점 카메라부터 획득된 부분적인 3D 점군을 사용하여 실내환경의 3D 복원을 위한 새로운 방법을 제안한다. 지금까지 다양한 양안차 추정 알고리즘이 제안되었으며, 이는 활용 가능한 깊이 영상이 다양함을 의미한다. 따라서, 본 논문에서는 일반화된 다시점 카메라를 이용하여 실내환경을 복원하는 방법을 다룬다. 첫 번째, 3D 점군들의 시간적 특성을 기반으로 변화량이 큰 3D 점들을 제거하고, 공간적 특성을 기반으로 주변의 3D 점을 참조하여 빈 영역을 채움으로써 깊이 영상 정제 과정을 수행한다. 두 번째, 연속된 두 시점에서의 3D 점군을 동일한 영상 평면으로 투영하고, 수정된 KLT (Kanade-Lucas-Tomasi) 특징 추적기를 사용하여 대응점을 찾는다. 그리고 대응점 간의 거리 오차를 최소화함으로써 정밀한 정합을 수행한다. 마지막으로, 여러 시점에서 획득된 3D 점군과 한 쌍의 2D 영상을 동시에 이용하여 3D 점들의 위치를 세밀하게 조절함으로써 최종적인 3D 모델을 생성한다. 제안된 방법은 대응점을 2D 영상 평면에서 찾음으로써 계산의 복잡도를 줄였으며, 3D 데이터의 정밀도가 낮은 경우에도 효과적으로 동작한다. 또한, 다시점 카메라를 이용함으로써 수 시점에서의 깊이 영상과 컬러 영상만으로도 실내환경 3D 복원이 가능하다. 제안된 방법은 네비게이션 뿐만 아니라 상호작용을 위한 3D 모델 생성에 활용될 수 있다.

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.11
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• pp.47-55
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• 2012

In this paper, we propose a method to reconstruct accurate 3D shape object by using multi-view images which are disturbed by motion blur. In multi-view deblurring, more precise PSF estimation can be done by using the geometric relationship between multi-view images. The proposed method first estimates initial 2D PSFs from individual input images. Then 3D PSF candidates are projected on the input images one by one to find the best one which are mostly consistent with the initial 2D PSFs. 3D PSF consists with direction and density and it represents the 3D trajectory of object motion. 야to restore 3D shape by using multi-view images computes the similarity map and estimates the position of 3D point. The estimated 3D PSF is again projected to input images and they replaces the intial 2D PSFs which are finally used in image deblurring. Experimental result shows that the quality of image deblurring and 3D reconstruction improves significantly compared with the result when the input images are independently deblurred.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.3
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• pp.712-717
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• 2013

In this paper, we propose a performance-enhanced object recognition by using nonlinear 3D correlator based on pixel restoration. In the proposed method, elemental images of the 3D target that are partially occluded by a foreground object are picked up and transformed into sub-images. By using the block-matching algorithm, the occluded target regions of each sub-image are estimated and removed. After that, the missing pixels in each sub-image are reestablished by using the pixel-restoration method. Finally, through the nonlinear cross-correlations between the reconstructed reference and the target plane images, the improved object recognition can be performed. To show the feasibility of the proposed method, some preliminary experiments are carried out and results are presented by comparing the conventional method.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.1
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• pp.121-126
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• 2009

Plane-based computational integral imaging (CIIR) provides the reconstruction of depth-dependent 3D plane images. However, it has problem degrading the resolution of reconstructed images due to the artifact noise according to the depth. In this paper, to overcome this problem, a signal model for plane-based CIIR is explain. Also the compensation process is introduced to remove the noise caused from CIIR. Computational experiments show that we analyze the characteristics of noise in the reconstructed image of 2D Gaussian image and the high-resolution images can be obtained by using the compensation process.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2018.06a
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• pp.136-138
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• 2018

본 논문에서는 미술품의 물리적 특징을 디지털화 하는 방법과 디지털 정보를 사용한 미술품 복원 방법을 다룬다. 미술품으로부터 취득할 수 있는 물리적 특성은 색상정보, 기하정보, 반사특성 등이 있고 미술품의 종류에 따라서 필요한 물리적 특성을 획득하기 위해서 미술품을 크게 2D, 2.5D, 3D 로 분류할 수 있다. 2D 미술품은 평면에 그려진 미술품으로 높은 해상도와 정확한 색상 정보 취득을 주 목적으로 하고, 2.5D 미술품은 평면의 미술품에 깊이가 추가된 유화나 판화의 형태로 2D 미술품의 특징에서 깊이표현 정보와 반사특성 정보를 추가로 취득한다. 3D 미술품은 입체적인 미술품으로 3 차원의 기하정보를 중심으로 디지털화 한다. 이렇게 취득한 미술품의 물리적 정보는 2D 미술품은 프린터로, 2.5D, 3D 미술품은 3D 프린터로 출력하여 복원하거나 디스플레이를 통해 가상으로 재현할 수 있다. 본 논문에서 다루는 디지털화 기술과 복원 기술은 높은 정확도를 위해 연구되었기 때문에 다양한 미술품의 디지털화와 복원에 사용될 뿐 아니라 다양한 분야에서 사용될 것으로 기대된다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.367-370
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• 2019

본 논문에서는 사료 검증을 바탕으로 반차도의 문화원형(文和元型, Culture Archetype) 가상복원을 통한 3D 증강현실 콘텐츠를 개발하였다. 반차도란 의궤에 담긴, 조선 시대 왕실의 행차를 그린 그림을 의미한다. 조선의 왕실문화를 활용한 궁궐콘텐츠는 한국 고유의 것이며, 스토리텔링이 풍부한 반차도를 활용한다면 국민의 전통문화 향유를 증대시킬 수 있다. 현대에서는 재현행사를 통해 왕실의 행차를 재현하고 있지만, 실내에서는 재현하기 어려워 왕실 행차에 대한 문화유산 접근성이 낮다는 한계가 있다. 또한, 문화콘텐츠닷컴과 국립중앙박물관에서 제공하는 반차도 관련 멀티미디어 콘텐츠는 반차도 구성을 설명하는 것이 아니므로 심도 있는 반차도 학습에 어려움이 따른다. 이를 극복하고자 본 논문에서는 사료 고증 메타데이터에 기반을 두어 문화원형 가상복원 3D 증강현실 콘텐츠를 제안하고자 한다. 이를 토대로 문화원형 가상복원을 위한 3D 증강현실 콘텐츠의 활용 가능 모습을 살펴보고, 기록유산 반차도의 문화원형 가상복원기반 증강현실 3D 콘텐츠를 제안하다.