• Title/Summary/Keyword: 2D 영상

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Robust Watermarking Algorithm for 3D Mesh Models (3차원 메쉬 모델을 위한 강인한 워터마킹 기법)

  • 송한새;조남익;김종원
    • Journal of Broadcast Engineering
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    • v.9 no.1
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    • pp.64-73
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    • 2004
  • A robust watermarking algorithm is proposed for 3D mesh models. Watermark is inserted into the 2D image which is extracted from the target 3D model. Each Pixel value of the extracted 2D image represents a distance from the predefined reference points to the face of the given 3D model. This extracted image is defined as “range image” in this paper. Watermark is embedded into the range image. Then, watermarked 3D mesh is obtained by modifying vertices using the watermarked range Image. In extraction procedure, the original model is needed. After registration between the original and the watermarked models, two range images are extracted from each 3D model. From these images. embedded watermark is extracted. Experimental results show that the proposed algorithm is robust against the attacks such as rotation, translation, uniform scaling, mesh simplification, AWGN and quantization of vertex coordinates.

A motion-based real time 2D to 3D image conversion method (운동기반의 실시간 2D-3D 영상 변환 방법)

  • Ko, Yoon-Ho;Choi, Chyul-Ho;Kwon, Byong-Heon;Choi, Myung-Ryul
    • Proceedings of the Korea Information Processing Society Conference
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    • 2003.05a
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    • pp.659-662
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    • 2003
  • 본 논문에서는 2차원 영상 사이에 움직임 변위를 검출하여 영상내의 원근 깊이를 생성하였으며 양 시차(positive) parallax처리를 하여 입체 영상을 생성한 방법을 제안했다. 이 방식은 2 차원 영상내의 사물의 운동 방향과 속도에 관계없이 3차원 효과를 느낄 수 있다. 제안한 방법은 다양한 영상원에 대해서 실시간으로 입체 영상 변환이 가능하며 LCD shutter goggle 방식의 입체 영상 장치를 통해 실제 시각적인 검증을 수행하였다.

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Multi-View Image Deblurring for 3D Shape Reconstruction (3차원 형상 복원을 위한 다중시점 영상 디블러링)

  • Choi, Ho Yeol;Park, In Kyu
    • 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.

A Correction of the Keystone Distortion Using the Bilinear Interpolation Method in 3D Stereoscopic images (3차원 입체영상에서 양선형 보간법을 이용한 키스톤 왜곡 보정)

  • Lee, Seung-Woo;Song, Young-Jun;Kim, Nam
    • Proceedings of the Korea Contents Association Conference
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    • 2006.11a
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    • pp.524-527
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    • 2006
  • This paper discusses a method to efficiently remove the keystone distortion in images. The keystone distortion which generated during 2D image aquisition to realize 3D stereoscopic images is removed by the bilinear interpolation method. Usually, the keystone distortion in 2D images can remove by the optical equipment but the image processing is more effective than the optical equipment in consideration of efficiency or simplicity of the works. This method can be realized 3D stereoscopic image without the distortion.

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3D Object Modeling and Feature Points using Octree Model (8진트리 모델을 사용한 3D 물체 모델링과 특징점)

  • 이영재
    • Journal of Korea Multimedia Society
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    • v.5 no.5
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    • pp.599-607
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    • 2002
  • The octree model, a hierarchical volume description of 3D objects, nay be utilized to generate projected images from arbitrary viewing directions, thereby providing an efficient means of the data base for 3D object recognition and other applications. We present 2D projected image and made pseudo gray image of object using octree model and multi level boundary search algorithm. We present algorithm for finding feature points of 2D and 3D image and finding matched points using geometric transformation. The algorithm is made of data base, it will be widely applied to 3D object modeling and efficient feature points application for basic 3D object research.

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Depth Extraction of Integral Imaging Using Correlation (상관관계를 활용한 집적 영상의 깊이 추출 방법)

  • Kim, Youngjun;Cho, Ki-Ok;Kim, Cheolsu;Cho, Myungjin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.7
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    • pp.1369-1375
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    • 2016
  • In this paper, we present a depth extraction method of integral imaging using correlation between elemental images with phase only filter. Integral imaging is a passive three-dimensional (3D) imaging system records ray information of 3D objects through lenslet array by 2D image sensor, and displays 3D images by using the similar lenslet array. 2D images by lenslet array have different perspectives. These images are referred to as elemental images. Since the correlation can be calculated between elemental images, the depth information of 3D objects can be extracted. To obtain high correaltion between elemental images effectively, in this paper, we use phase only filter. Using this high correlation, the corresponding pixels between elemental images can be found so that depth information can be extracted by computational reconstruction technique. In this paper, to prove our method, we carry out optical experiment and calculate Peak Sidelobe Ratio (PSR) as a correlation metric.

A Study on 3D View Design of Images and Voices Integration for Effective Information Transfer (효과적 정보전달을 위한 영상정보의 3D 뷰 및 음성정보와의 융합 연구)

  • Shin, C.H.;Lee, J.S.
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.1B
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    • pp.35-41
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    • 2010
  • In this paper, we propose a 3D view design scheme which arranges 2D information in a 3D virtual space with a flexible interface and voice information. The scheme allows the user interface of the 2D image in 3D virtual space anytime from any view point. Voice information can be easily attached. It is this simple and efficient image and voice information arrangement in 3D virtual space that improves information transfer.

Image Encryption using LFSR and CAT (LFSR과 CAT을 이용한 영상 암호화)

  • Nam, Tae-Hee;Kim, Seok-Tae;Cho, Sung-Jin
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.05a
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    • pp.164-167
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    • 2009
  • In this paper, we propose the image encryption using LFSR(Linear Feedback Shift Register) and 2D CAT(Two-Dimensional Cellular Automata Transform). First, a LFSR is used to create a PN(pseudo noise) sequence, which is identical to the size of the original image. Then, the created sequence goes through a XOR operation with the original image to convert the original image. Next, the gateway value is set to produce a 2D CAT basis function. Using the created basis function, multiplication is done with the converted original image to process 2D CAT image encipherment. Lastly, the stability analysis verifies that the proposed method holds a high encryption quality status.

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현실 세계 영상에 대한 요소 영상 생성 기법

  • Im, Byeong-Muk;Ryu, Gwan-Hui
    • Information and Communications Magazine
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    • v.34 no.2
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    • pp.59-66
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    • 2017
  • 최근 가상현실 장비의 대중화에 따라 3D 영상에 대한 관심이 높아지고 있지만 3D 영상을 즐기기 위해서는 별도의 장비를 사용해야 한다. 하지만 별도의 장비를 끼지 않아도 3D 영상을 볼 수 있는 무안경식 3D 가시화 기술이 연구되고 있다. 본고에서는 현실세계 정보에 대해 무안경식 3D 가시화를 위해 요구되는 요소영상을 보다 효율적으로 생성할 수 있는 다양한 기법을 소개하고 향후 연구되어야 할 주제를 소개한다.

The Compression Effects of Reconstruction Images with Frame Difference Volume Quantizer (프레임 차분 체적양자화기에 의한 복원영상의 압축 효과)

  • 최재윤;김태효
    • Proceedings of the IEEK Conference
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    • 2000.09a
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    • pp.269-273
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    • 2000
  • 본 논문에서는 연속되는 동영상 시퀸스의 9개의 프레임에서 이웃하는 프레임간의 차분 프레임으로 이루어진 8개의 차분 데이터를 3D-DCT 처리 후 특성에 맞는 프레임 차분 체적 양자화기(FDVQ)를 설계하고, 이것으로 처리된 영상데이터를 부호화하여 복원영상 데이터의 압축 효과를 분석하였다. 여러가지 동영상 시퀀스를 시험 대상으로 사용한 결과, 제안한 FDVQ를 적용한 3D-DCT 방법은 유사한 해상도에서 차분 영상 데이터에 대한 압축률은 2D-DCT 방법에 비하여 평균 20.3% 향상된 압축 효율을 얻었다. 체적 양자화(VQ:Volume Quantizer)를 이용한 3D-DCT 방법과 비교했을 때는 유사한 압축률을 보였다. 특히, 움직임 성분이 많은 영상에 대해서는 제안한 FDVQ를 이용한 방법이 압축률을 높일수록 2D-DCT방법과 VQ를 이용한 방법보다 압축률 0.05bpp이하에서 약 1.0dB 개선된 결과를 나타내었다.

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