• Title/Summary/Keyword: 3D integral imaging

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Plane-based Computational Integral Imaging Reconstruction Method of Three-Dimensional Images based on Round-type Mapping Model (원형 매핑 모델에 기초한 3차원 영상의 평면기반 컴퓨터 집적 영상 재생 방식)

  • Shin, Dong-Hak;Kim, Nam-Woo;Lee, Joon-Jae;Kim, Eun-Soo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.5
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    • pp.991-996
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    • 2007
  • Recently, a computational reconstruction method using an integral imaging technique, which is a promise three-dimensional display technique, has been actively researched. This method is that 3-D images can be digitally reconstructed at the required output planes by superposition of all of the inversely enlarged elemental images by using a hypothetical pinhole array model. However, the conventional method mostly yields reconstructed images having a low-resolution, because there are some intensity irregularities with a grid structure at the reconstructed mage plane by using square-type elemental images. In this paper, to overcome this problem, we propose a novel computational integral imaging reconstruction (CIIR) method using round-type mapping model. Proposed CIIR method can overcome problems of non-uniformly reconstructed images caused from the conventional method and improve the resolution of 3-D images. To show the usefulness of the proposed method, both computational experiment and optical experiment are carried out and their results are presented.

Three-dimensional Dynamic Display System Based on Integral Imaging

  • Jung, Sung-Yong;Min, Sung-Wook;Park, Jae-Hyeung;Lee, Byoung-Ho
    • Journal of Information Display
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    • v.3 no.1
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    • pp.22-26
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    • 2002
  • Three-dimensional dynamic display system based on computer-generated integral imaging is discussed and its feasibility is verified via some basic experiments. Integrated images observed from different viewing points are seen to have full parallax and the animated 3D image was implemented successfully. Moreover, using large size Fresnel lens array was found to helps widen viewing angle and to make the system more practical.

Performance Analysis of Compression Techniques Using DCT and DWT on Elemental Images in 3D Integral Imaging (3 차원 집적영상에서의 요소영상 압축을 위한 DCT 및 DWT 성능분석)

  • Muniraj, Inbarasan;Moon, In-Kyu
    • Proceedings of the Korea Multimedia Society Conference
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    • 2012.05a
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    • pp.340-342
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    • 2012
  • Integral Imaging (II) is an attractive technique for three-dimensional (3D) image, video display and recording. Inherently, the high resolution II requires an enormous amount of data for storing and transmitting of 3D scenes. Compression techniques attempt to evade this issue. In this study, we made a comparative performance analysis of popular transforming/compression techniques such as the Discrete Cosine Transform (DCT) and the Discrete Wavelet Transform (DWT) in order to compress 3D-II. The standard baseline JPEG (Joint Photographic Experts Group) using DCT and JPEG 2000 using DWT methods were manipulated in our experiments. In our analysis, we have shown that the DWT based JPEG 2000 compression methodology could be a good alternative for 3D-II.

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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;Park Kyoung-Shin;Min Sung-Wook
    • The KIPS Transactions:PartB
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    • v.13B no.3 s.106
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    • pp.295-300
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    • 2006
  • The integral imaging system is an auto-stereoscopic display that allows users to see 3D images without wearing special glasses. In the integral imaging system, the 3D object information is taken from several view points and stored as elemental images. Then, users can see a 3D reconstructed image by the elemental images displayed through a lens array. The elemental images can be created by computer graphics, which is referred to the computer-generated integral imaging. The process of creating the elemental images is called image mapping. There are some image mapping methods proposed in the past, such as PRR(Point Retracing Rendering), MVR(Multi-Viewpoint Rendering) and PGR(Parallel Group Rendering). However, they have problems with heavy rendering computations or performance barrier as the number of elemental lenses in the lens array increases. Thus, it is difficult to use them in real-time graphics applications, such as virtual reality or real-time, interactive games. In this paper, we propose a new image mapping method named VVR(Viewpoint Vector Rendering) that improves real-time rendering performance. This paper describes the concept of VVR first and the performance comparison of image mapping process with previous methods. Then, it discusses possible directions for the future improvements.

Convertible 3D-2D display by use of integral imaging system with plastic fiber array

  • Kim, Young-Min;Choi, Hee-Jin;Cho, Seong-Woo;Kim, Yun-Hee;Kim, Joo-Hwan;Park, Gil-Bae;Lee, Byoung-Ho
    • 한국정보디스플레이학회:학술대회논문집
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    • 2007.08b
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    • pp.1482-1485
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    • 2007
  • A three-dimensional (3D)-two-dimensional (2D) convertible display system using a plastic fiber array is proposed. The proposed system has an advantage of making use of a light source for 3D image from an arbitrary location. The optical efficiency of 3D images in the proposed system is enhanced compared with previous research.

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Three-Dimensional Photon Counting Imaging with Enhanced Visual Quality

  • Lee, Jaehoon;Lee, Min-Chul;Cho, Myungjin
    • Journal of information and communication convergence engineering
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    • v.19 no.3
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    • pp.180-187
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    • 2021
  • In this paper, we present a computational volumetric reconstruction method for three-dimensional (3D) photon counting imaging with enhanced visual quality when low-resolution elemental images are used under photon-starved conditions. In conventional photon counting imaging with low-resolution elemental images, it may be difficult to estimate the 3D scene correctly because of a lack of scene information. In addition, the reconstructed 3D images may be blurred because volumetric computational reconstruction has an averaging effect. In contrast, with our method, the pixels of the elemental image rearrangement technique and a Bayesian approach are used as the reconstruction and estimation methods, respectively. Therefore, our method can enhance the visual quality and estimation accuracy of the reconstructed 3D images because it does not have an averaging effect and uses prior information about the 3D scene. To validate our technique, we performed optical experiments and demonstrated the reconstruction results.

Simplified Integral Imaging Pickup Method for Real Objects Using a Depth Camera

  • Li, Gang;Kwon, Ki-Chul;Shin, Gwan-Ho;Jeong, Ji-Seong;Yoo, Kwan-Hee;Kim, Nam
    • Journal of the Optical Society of Korea
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    • v.16 no.4
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    • pp.381-385
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    • 2012
  • In this paper, we present a novel integral imaging pickup method. We extract each pixel's actual depth data from a real object's surface using a depth camera, then generate elemental images based on the depth map. Since the proposed method generates elemental images without a lens array, it has simplified the pickup process and overcome some disadvantages caused by a conventional optical pickup process using a lens array. As a result, we can display a three-dimensional (3D) image in integral imaging. To show the usefulness of the proposed method, an experiment is presented. Though the pickup process has been simplified in the proposed method, the experimental results reveal that it can also display a full motion parallax image the same as the image reconstructed by the conventional method. In addition, if we improve calculation speed, it will be useful in a real-time integral imaging display system.

Nonlinear 3D Image Correlator Using Fast Computational Integral Imaging Reconstruction Method (고속 컴퓨터 집적 영상 복원 방법을 이용한 비선형 3D 영상 상관기)

  • Shin, Donghak;Lee, Joon-Jae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.10
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    • pp.2280-2286
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    • 2012
  • In this paper, we propose a novel nonlinear 3D image correlator using a fast computational integral imaging reconstruction (CIIR) method. In order to implement the fast CIIR method, the magnification process was eliminated. In the proposed correlator, elemental images of the reference and target objects are picked up by lenslet arrays. Using these elemental images, reference and target plane images are reconstructed on the output plane by means of the proposed fast CIIR method. Then, through nonlinear cross-correlations between the reconstructed reference and the target plane images, the pattern recognition can be performed from the correlation outputs. Nonlinear correlation operation can improve the recognition of 3D objects. To show the feasibility of the proposed method, some preliminary experiments are carried out and the results are presented by comparing the conventional method.

Analysis between elemental image size and object locations in the pickup using periodically-distributed lenslets and enhancement of computational integral imaging (주기적으로 배치된 렌즈 배열 픽업에서의 요소 영상 크기와 3차원 물체 위치와의 해석과 컴퓨터 집적 영상 복원 화질 개선 방법)

  • Yoo, Hoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.5
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    • pp.1171-1176
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    • 2011
  • This paper describes an analysis on the relationship between elemental image size and object locations in the computational integral imaging reconstruction and in the pickup using a periodically-distributed lenslet array. A sparse sampling effect arises from a periodically-distributed lenslet array in the pickup of 3D objects. The relationship between elemental image size and object location is also reported. Based on the analysis, a method to eliminate the sparse sampling is proposed. To show the effectiveness of the proposed method, experimental results are carried out. It turns out that the theory works.