• Title/Summary/Keyword: Integral image

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Computer-generated integral imaging system used in virtual reality (가상현실에 이용할 수 있는 컴퓨터 생성 집적 영상 시스템)

  • Seok, Myeong-Hun;Min, Seong-Uk
    • Proceedings of the Optical Society of Korea Conference
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    • 2005.07a
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    • pp.158-159
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    • 2005
  • Three-dimensional(3D) integral imaging system which can be used in a virtual reality system is proposed. The proposed system uses a new image mapping algorithm which can achieve the real time processing, which is indispensable for the virtual reality system. 3D images generated by the advanced graphic software such as OpenGL API can be directly used without complex adaptation. Therefore, the computer-generated integral imaging system using the proposed mapping algorithm can be successfully applied to virtual reality.

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A Study of Modified H-transform and Fractional Integral Operator

  • Gupta, Kantesh
    • Kyungpook Mathematical Journal
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    • v.47 no.4
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    • pp.519-527
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    • 2007
  • In this paper, we establish a theorem wherein we have obtained the image of modified H-transform under the fractional integral operator involving Foxs H-function. Three corollaries of this theorem have also been derived. Further, we obtain one interesting integral by the application of the third corollary. The importance of above findings lies in the fact that our main theorem involves Fox H-function which is very general in nature. The result obtained earlier by Tariq (1998) is a special case of our main findings.

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360-degree Viewable Cylindrical Integral Imaging System Using Electroluminescent Films

  • Jung, Jae-Hyun;Park, Gil-Bae;Kim, Yun-Hee;Lee, Byoung-Ho
    • 한국정보디스플레이학회:학술대회논문집
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    • 2009.10a
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    • pp.1254-1257
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    • 2009
  • A 360-degree viewable three-dimensional display based on integral imaging is proposed. The cylindrically arranged point light source array which is generated by electroluminescent (EL) pinhole film reconstructs 360-degree viewable virtual 3D image at the center of the cylinder. In this paper, the principle of operation and experimental results are presented.

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360-degree Viewable Cylindrical Integral Imaging System Using Electroluminescent Films

  • Jung, Jae-Hyun;Park, Gil-Bae;Kim, Yun-Hee;Lee, Byoung-Ho
    • 한국정보디스플레이학회:학술대회논문집
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    • 2009.10a
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    • pp.1330-1333
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    • 2009
  • A 360-degree viewable three-dimensional display based on integral imaging is proposed. The cylindrically arranged point light source array which is generated by electroluminescent (EL) pinhole film reconstructs 360-degree viewable virtual 3D image at the center of the cylinder. In this paper, the principle of operation and experimental results are presented.

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A FORMAL DERIVATION ON INTEGRAL GROUP RINGS FOR CYCLIC GROUPS

  • Joongul Lee
    • Honam Mathematical Journal
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    • v.45 no.4
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    • pp.678-681
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    • 2023
  • Let G be a cyclic group of prime power order pk, and let I be the augmentation ideal of the integral group ring ℤ[G]. We define a derivation on ℤ/pkℤ[G], and show that for 2 ≤ n ≤ p, an element α ∈ I is in In if and only if the i-th derivative of the image of α in ℤ/pkℤ[G] vanishes for 1 ≤ i ≤ (n - 1).

An object evaluation of computational integral imaging reconstruction technique using Gaussian image (Gaussion 영상을 이용한 컴퓨터적 직접 영상 재생 기술의 객관적 평가)

  • Yu, Hun;Sin, Dong-Hak
    • Proceedings of the Optical Society of Korea Conference
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    • 2007.07a
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    • pp.257-258
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    • 2007
  • For objective evaluation of computational integral imaging reconstruction (CIIR) schemes, a framework with the computational pickup and the CIIR process using Gaussian images is presented and characteristics of CIIR along the distance between lenslet array and objects are investigated.

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Enhanced Image Mapping Method for Computer-Generated Integral Imaging System (집적 영상 시스템을 위한 향상된 이미지 매핑 방법)

  • Lee, Bin-Na-Ra;Cho, Yong-Joo;Min, Sung-Wook;Park, Kyung-Shin
    • 한국HCI학회:학술대회논문집
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    • 2006.02a
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    • pp.535-540
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    • 2006
  • 집적 영상(Integral Imaging) 시스템은 관찰자가 특수안경의 착용 없이 육안으로 3 차원 영상을 볼 수 있는 무안경식 양안시차 디스플레이 방식 중 하나로, 수직, 수평 시차와 총천연색의 영상을 제공한다. 집적영상 시스템은 3 차원 정보를 2 차원 엘리멘탈 이미지 (Elemental image)의 형태로 저장하는데, 엘리멘탈 이미지는 조금씩 다른 방향에서 제한된 크기로 촬영된 이미지이다. 엘리멘탈 이미지는 컴퓨터 그래픽으로 만들어질 수도 있는데, 이를 이용하는 집적 영상 방식을 CG 직접 영상 시스템이라 한다. 이와 같이 컴퓨터 계산에 의해 엘리멘탈 이미지를 얻는 과정을 이미지 매핑 (Image mapping)이라 부른다. 이제까지 제안된 이미지 매핑 방식에는 점대점 (Point to Point), MVR (Multi-Viewpoint Rendering), PGR (Parallel Group Rendering) 이 있다. 그러나 이런 방식들은 계산량이 많거나 렌즈 어레이 개수의 증가에 의해 속도에 영향을 받는 단점이 있어, 아직 가상현실 같은 실시간 CG 응용 분야에 사용하기 어려운 문제가 있다. 본 논문에서는 VVR (Viewpoint Vector Rendering)이라는 기존의 방법과 비교해 향상된 새로운 이미지 매핑 방법을 제안한다. 먼저 VVR 개념을 자세히 설명한 후 VVR 을 사용한 집적 영상 시스템을 구현하여 MVR 방법과 비교 분석한 실험결과와 개선되어야 할 방향을 제시한다.

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Neighboring Elemental Image Exemplar Based Inpainting for Computational Integral Imaging Reconstruction with Partial Occlusion

  • Ko, Bumseok;Lee, Byung-Gook;Lee, Sukho
    • Journal of the Optical Society of Korea
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    • v.19 no.4
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    • pp.390-396
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    • 2015
  • We propose a partial occlusion removal method for computational integral imaging reconstruction (CIIR) based on the usage of the exemplar based inpainting technique. The proposed method is an improved version of the original linear inpainting based CIIR (LI-CIIR), which uses the inpainting technique to fill in the data missing region. The LI-CIIR shows good results for images which contain objects with smooth surfaces. However, if the object has a textured surface, the result of the LI-CIIR deteriorates, since the linear inpainting cannot recover the textured data in the data missing region well. In this work, we utilize the exemplar based inpainting to fill in the textured data in the data missing region. We call the proposed method the neighboring elemental image exemplar based inpainting (NEI-exemplar inpainting) method, since it uses sources from neighboring elemental images to fill in the data missing region. Furthermore, we also propose an automatic occluding region extraction method based on the use of the mutual constraint using depth estimation (MC-DE) and the level set based bimodal segmentation. Experimental results show the validity of the proposed system.

Three-Dimensional Visualization Technique of Occluded Objects Using Integral Imaging with Plenoptic Camera

  • Lee, Min-Chul;Inoue, Kotaro;Tashiro, Masaharu;Cho, Myungjin
    • Journal of information and communication convergence engineering
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    • v.15 no.3
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    • pp.193-198
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    • 2017
  • In this study, we propose a three-dimensional (3D) visualization technique of occluded objects using integral imaging with a plenoptic camera. In previous studies, depth map estimation from elemental images was used to remove occlusion. However, the resolution of these depth maps is low. Thus, the occlusion removal accuracy is not efficient. Therefore, we use a plenoptic camera to obtain a high-resolution depth map. Hence, individual depth map for each elemental image can also be generated. Finally, we can regenerate a more accurate depth map for 3D objects with these separate depth maps, allowing us to remove the occlusion layers more efficiently. We perform optical experiments to prove our proposed technique. Moreover, we use MSE and PSNR as a performance metric to evaluate the quality of the reconstructed image. In conclusion, we enhance the visual quality of the reconstructed image after removing the occlusion layers using the plenoptic camera.

Content- based Image Retrieval using Fuzzy Integral (퍼지 적분을 이용한 내용기반 영상 검색)

  • Kim, Dong-Woo;Song, Young-Jun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.16 no.2
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    • pp.203-208
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    • 2006
  • The management of image information settles as an important field with the advent of multimedia age and we are in need of the effective retrieval method to manage systematically image information. This paper has complemented the problem caused by the absence of space information that is a weak point of the existing color histogram method by assigning regions of features, and raised accuracy by adding texture and shape information. And existing methods using multiple features have problems that the retrieval process is embarrassed because each weight is set up manually. So we has solved these problems by assignment of weight applying fuzzy integral. As a result of experimenting with 1,000 color images, the proposed method showed better precision and recall than the existing method.