• Proceedings of the Korean Society of Computer Information Conference
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• 2015.01a
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• pp.205-208
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• 2015

3D 입체영상을 제작하기 위해서는 2D 영상제작에 비해 오랜 제작 기간과 많은 비용이 발생한다. 비용 절감을 위해 기존의 2D 영상을 3D 입체영상으로 변환하는 연구가 진행되고 있다. 2D 영상을 3D 입체영상으로 변환하는 방식은 자동변환방법과 수동변환방법으로 구분할 수 있으며, 고품질의 2D-3D 변환 영상을 획득하기 위해서는 깊이정보 지도(Depth map chart)를 활용한 수동변환 방법을 많이 사용되고 있다. 하지만 2D-3D 수동변환에 사용되는 깊이정보 지도의 정량적 분석 데이터가 부족하여 사용자가 변환한 이미지에 대한 정확한 기준 깊이값 설정이 어려운 단점이 있다. 본 논문에서는 깊이정보 지도의 깊이값 정보에 대한 정량적 분석 데이터를 바탕으로 한 2D-3D 수동변환 변화범위를 제시함으로써 적정한 영상 변화를 유도할 수 있도록 한다.

• The Journal of the Korea Contents Association
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• v.14 no.7
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• pp.1-9
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• 2014

Previous 2D-3D conversion methods to generate 3D stereo images from 2D sequence consist of labor-intensive procedures in their production pipelines. This paper presents an efficient 2D-3D conversion system based on scene structure reconstruction from image sequence. The proposed system reconstructs a scene space and produces 3D stereo images with texture re-projection. Experimental results show that the proposed method can generate precise 3D contents based on scene structure information. By using the proposed reconstruction tool, the stereographer can collaborate efficiently with workers in production pipeline for 3D contents production.

• Information and Communications Magazine
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• v.27 no.3
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• pp.23-28
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• 2010

본고에서는 현재 입체영상분야에서 많은 관심이 있는 2D/3D 입체변환 기술에 대해 설명한다. 2D/3D 입체변환 기술은 지난 20년간 꾸준히 연구와 개발이 진행되어온 분야로 상업적 가치가 매우 높은 기술이다. 본고에서는 입체변환의 기본 개념, 입체영상의 원리, 및 기존의 변환기법들을 소개하고, 현재까지의 기술적 방향과 해결해야 할 문제점을 소개한다.

• Journal of Information Technology and Architecture
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• v.11 no.4
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• pp.495-504
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• 2014

This paper present a strategy of intellectual property acquisition and core technology development direction using analysis of 2D to 3D video conversion technology patent data. As a result of analysis of trends in patent 2D to 3D technology, it is very promising technology field. Using a strategic patent map using research of patent trend, you will keep ahead of the competition in 2D3D image data conversion market.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.10C
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• pp.982-989
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• 2007

In this paper, we propose a 3DTV system that considers user's view point and display environment. The proposed system consists of 3 parts - multi-view encoder/decoder, face-tracker, and 2D/3D converter. The proposed system try to encode multi-view sequence and decode it in accordance with the user's view point and it also gives a stereopsis to the multi-view image by using of 2D/3D conversion which converts decoded two-dimensional(2D) image to three-dimensional(3D) image. Experimental results shows that we are able to correctly reconstruct a stereoscopic view that is exactly corresponding to user's view point.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.15 no.2
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• pp.253-261
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• 1997

In general, the transformation of coordinates in GPS is carried out by 3 dimensional transformation method with 3-10 parameter. In korea, the coordinates of transformation points ware determined are adjusted in-dependently by planimetry and the height, and also the weight of observations were not properly applied to the adjustment. In this study, two different transformation methods are tested and analysed by the field test, and it is finally found that 2 dimensional method is more efficient way than 3 dimensional classical transformation method.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.5
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• pp.1031-1038
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• 2005

In this paper, we propose real-time 3D image converting architecture by a unit of pixel for 2D/3D compatible PC and LCD of cellular phone with parallax burier, and implement a system for overall display operation after designing a circuit based on FPGA. After digitizing anolog image signal from PC, we recompose it to 3D image signal according to input image type. Since the architecture which rearranges 2D image to 3D depends on parallax burier, we use interleaving method which mixes pixels by a unit of R, G, and B cell. The propose architecture is designed into a circuit based on FPGA with high-speed memory access technique and use 4 SDRAMs for high performance data storing and processing. The implemented system consists of A/D converting system, FPGA system to formatting 2D signal to 3D, and LCD panel with parallax barrier, for 3D display.

• Proceedings of the KAIS Fall Conference
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• 2010.11a
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• pp.92-95
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• 2010

본 논문에서는 2차원 영상을 3차원 영상으로 변환하여 입체감을 주는 방법을 제안하였다. 2D/3D 변환을 위해 Normalized Cut을 사용하여 객체를 분할하였고, 분할된 객체에 Optical Flow 값을 계산해 깊이정보를 생성하여 입체감을 주었다. 객체를 분할하기 위해 Normalized Cut을 이용한 방법에 Optical Flow를 이용한 가중치 값을 추가하여 정확한 객체 분할을 하였고, 처리속도 향상을 위해 영상의 밝기, 색상을 고려한 Watershed 알고리즘을 적용하여 연산량을 줄였다. 분할된 영상에 Optical Flow를 이용하여 색상 정보의 차이를 통해 객체별 고유벡터 값을 연산하여 객체의 움직임 정보를 추출하고 운동시차를 고려해 깊이 정보를 생성하였다. 제안한 방법으로 변환하기 위해 MATLAB을 사용하였다. 제안한 변환 방법은 2D/3D 입체변환에 효과적이었다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.3
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• pp.129-135
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• 2011

In this paper, we propose the algorithm using optical flow and machine learning-based segmentation for the 3D conversion of 2D video. For the segmentation allowing the successful 3D conversion, we design a new energy function, where color/texture features are included through machine learning method and the optical flow is also introduced in order to focus on the regions with the motion. The depth map are then calculated according to the optical flow of segmented regions, and left/right images for the 3D conversion are produced. Experiment on various video shows that the proposed method yields the reliable segmentation result and depth map for the 3D conversion of 2D video.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.4
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• pp.1897-1903
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• 2011

This paper discusses a 2D/3D conversion of images using technologies like object extraction and depth-map creation. The general procedure for converting 2D images into a 3D image is extracting objects from 2D image, recognizing the distance of each points, generating the 3D image and correcting the image to generate with less noise. This paper proposes modified new methods creating a depth-map from 2D image and recognizing the distance of objects in it. Depth-map information which determines the distance of objects is the key data creating a 3D image from 2D images. To get more accurate depth-map data, noise filtering is applied to the optical flow. With the proposed method, better depth-map information is calculated and better 3D image is constructed.