• 제목/요약/키워드: computational integral imaging

검색결과 69건 처리시간 0.026초

Numerical Reconstruction and Pattern Recognition using Integral Imaging

  • Yeom, Seo-Kwon
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2008년도 International Meeting on Information Display
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    • pp.1131-1134
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    • 2008
  • In this invited paper, numerical reconstruction and pattern recognition using integral imaging are overviewed. The computational integral imaging method reconstructs three-dimensional information at arbitrary depth-levels. Photon-counting nonlinear matched filtering combined with the computational reconstruction provides promising results for the application of low-light level recognition.

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Computational integral imaging reconstruction by use of scale-variant magnification technique

  • Shin, Dong-Hak;Yoo, Hoon
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2008년도 International Meeting on Information Display
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    • pp.726-729
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    • 2008
  • In this paper, we present an interference problem among elemental images in computational integral imaging reconstruction. To overcome the interference problem, we propose a method to calculate a minimum magnification factor and the preliminary experiments are performed.

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Computational Implementation of Asymmetric Integral Imaging by Use of Two Crossed Lenticular Sheets

  • Shin, Dong-Hak;Cho, Myung-Jin;Kim, Eun-Soo
    • ETRI Journal
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    • 제27권3호
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    • pp.289-293
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    • 2005
  • We propose an asymmetric integral imaging method to adjust the resolution and depth of a three-dimensional image. Our method is obtained by use of two lenticular sheets with different pitches fabricated under the same F/#. The asymmetric integral imaging is the generalized version of integral imaging, including both conventional integral imaging and one-dimensional integral imaging. We present experimental results to test and verify the performance of our method computationally.

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Transformations and Their Analysis from a RGBD Image to Elemental Image Array for 3D Integral Imaging and Coding

  • Yoo, Hoon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권5호
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    • pp.2273-2286
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    • 2018
  • This paper describes transformations between elemental image arrays and a RGBD image for three-dimensional integral imaging and transmitting systems. Two transformations are introduced and analyzed in the proposed method. Normally, a RGBD image is utilized in efficient 3D data transmission although 3D imaging and display is restricted. Thus, a pixel-to-pixel mapping is required to obtain an elemental image array from a RGBD image. However, transformations and their analysis have little attention in computational integral imaging and transmission. Thus, in this paper, we introduce two different mapping methods that are called as the forward and backward mapping methods. Also, two mappings are analyzed and compared in terms of complexity and visual quality. In addition, a special condition, named as the hole-free condition in this paper, is proposed to understand the methods analytically. To verify our analysis, we carry out experiments for test images and the results indicate that the proposed methods and their analysis work in terms of the computational cost and visual quality.

Improved Viewing Quality of 3-D Images in Computational Integral Imaging Reconstruction Based on Lenslet Array Model

  • Shin, Dong-Hak;Lee, Byoung-Ho;Kim, Eun-Soo
    • ETRI Journal
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    • 제28권4호
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    • pp.521-524
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    • 2006
  • In this letter, we propose a novel computational integral imaging reconstruction technique based on a lenslet array model. The proposed technique provides improvement of viewing images by extracting multiple pixels from elemental images according to ray tracing based on the lenslet array model. To show the feasibility of the proposed technique, we analyze it according to ray optics and present the experimental results.

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Computational Approach to Color Overlapped Integral Imaging for Depth Estimation

  • Lee, Eunsung;Lim, Joohyun;Kim, Sangjin;Har, Donghwan;Paik, Joonki
    • IEIE Transactions on Smart Processing and Computing
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    • 제3권6호
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    • pp.382-387
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    • 2014
  • A computational approach to depth estimations using a color over lapped integral imaging system is presented. The proposed imaging system acquires multiple color images simultaneously through a single lens with an array of multiple pinholes that are distributed around the optical axis. This paper proposes a computational model of the relationship between the real distance of an object and the disparity among different color images. The proposed model can serve as a computational basis of a single camera-based depth estimation.

집적 영상을 활용한 3차원 QR code (Three-dimensional QR Code Using Integral Imaging)

  • 김영준;조기옥;한재승;조명진
    • 한국정보통신학회논문지
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    • 제20권12호
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    • pp.2363-2369
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    • 2016
  • 본 논문에서는 집적 영상과 컴퓨터 재생 기술을 활용한 3차원 QR 코드 생성 기술을 제안한다. 제안하는 기술에서는 2차원 QR 코드를 네 개의 면으로 나누어 각각의 면을 서로 다른 깊이에 배치한 뒤 깊이가 추가된 3차원 QR 코드를 합성조리개 집적 영상과 컴퓨터 재생 기술을 사용하여 생성한다. 이 과정에서 3차원 영상 기술 중 하나인 집적 영상 기술을 사용한다. 마지막으로, 3차원 QR 코드를 집적영상을 이용하여 컴퓨터 재생을 한 뒤 각 면을 배치했던 깊이 부분에서 영상을 재생하고 조합하면 3차원 QR 코드를 읽을 수 있다. 따라서 QR 코드를 읽을 때 보안을 강화할 수 있다. 본 논문에서는 제안된 기술이 QR 코드를 읽을 때 보안을 강화할 수 있음을 보이기 위하여 광학적 실험과 컴퓨터 재생을 수행하였다. 또한, 재생 깊이를 알고 있을 때, 3차원 QR 코드를 읽을 수 있음을 보였다.

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

  • 유훈;신동학
    • 한국광학회:학술대회논문집
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    • 한국광학회 2007년도 하계학술발표회 논문집
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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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Computational reconstruction techniques in integral imaging by use of a lenslet array

  • Shin, Dong-Hak;Kim, Eun-Soo;Lee, Byoung-Ho
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2005년도 International Meeting on Information Displayvol.II
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    • pp.1588-1591
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    • 2005
  • In this paper, we propose novel computational reconstruction technique of three-dimensional objects in integral imaging by use of a lenslet array. We applied our technique to two different integral imaging systems according the distance between lenslet array and elemental image plane. Experimental results are presented and discussed as well.

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Computational Integral Imaging Reconstruction of 3D Object Using a Depth Conversion Technique

  • Shin, Dong-Hak;Kim, Eun-Soo
    • Journal of the Optical Society of Korea
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    • 제12권3호
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    • pp.131-135
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    • 2008
  • Computational integral imaging(CII) has the advantage of generating the volumetric information of the 3D scene without optical devices. However, the reconstruction process of CII requires increasingly larger sizes of reconstructed images and then the computational cost increases as the distance between the lenslet array and the reconstructed output plane increases. In this paper, to overcome this problem, we propose a novel CII method using a depth conversion technique. The proposed method can move a far 3D object near the lenslet array and reduce the computational cost dramatically. To show the usefulness of the proposed method, we carry out the preliminary experiment and its results are presented.