• Title/Summary/Keyword: Auto-stereoscopic display

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Geospatial Data Display Technique for Non-Glasses Stereoscopic Monitor (무안경식 입체 모니터를 이용한 지형공간 데이터의 디스플레이 기법)

  • Lee, Seun-Geun;Lee, Dong-Cheon
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.26 no.6
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    • pp.599-609
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    • 2008
  • Development of computer and electronic technology leads innovative progress in spatial informatics and successful commercialization. Geospatial information technology plays an important role in decision making in various applications. However, information display media are two-dimensional plane that limits visual perception. Understanding human visual processing mechanism to percept stereo vision makes possible to implement three-dimensional stereo image display. This paper proposes on-the-fly stereo image generation methods that are involved with various exterior and camera parameters including exposure station, viewing direction, image size, overlap and focal length. Collinearity equations and parameters related with stereo viewing conditions were solved to generate realisitc stereo imagery. In addition stereo flying simulation scenery was generated with different viewing locations and directions. The stereo viewing is based on the parallax principle of two veiwing locations. This study implemented anaglyphic stereogram, polarization and lenticular stereo display methods. Existing display technology has limitation to provide visual information of three-dimensional and dynamic nature of the real world because the 3D spatial information is projected into 2D plane. Therefore, stereo display methods developed in this study improves geospatial information and applications of GIS by realistic stereo visualization.

Display System on a Tabletop for Two Viewers (2방향 관찰면 테이블형 디스플레이 시스템)

  • Yoon, Ki-Hyuk;Kim, Sung-Kyu
    • Korean Journal of Optics and Photonics
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    • v.23 no.6
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    • pp.255-263
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    • 2012
  • In this paper, we designed a tabletop display which enables two viewers each to see a different image simultaneously within his/her defined viewing zone. In order to construct the designed viewing zones, we found the basic design conditions for a parallax barrier with a commercial LCD panel. As the viewing zones for two viewers are formed with only two view-point design, the interval between the center positions of each viewing zone and the width of each viewing zone are small compared to designed values. We analyzed the primary cases, introduced two modified design methods to enlarge the interval and the width of the viewing zones, and simulated their characteristics. As designed with six unit view-point and each viewing zone of each viewer is formed with a merged view-point, we found that adequate interval and width of viewing zones can be made, and we verified it in comparison with the tabletop display module that we fabricated.

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.

Subjective Video Quality Comparison of 3D Display Monitors (3D 디스플레이 모니터의 주관적 화질 상관도 비교)

  • Youn, Sungwook;Ok, Jiheon;Yim, Donghyun;Han, Taehwan;Lee, Chulhee
    • Journal of Broadcast Engineering
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    • v.18 no.3
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    • pp.416-424
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    • 2013
  • Recently, efforts have been made to develop international standards related to 3DTV quality assessment underway in International Telecommunication Union and Video Quality Experts Group. Unlike conventional 2D displays, there are several types of 3D display monitors: passive glasses, active glasses and auto-stereoscopic. In this paper, we performed subjective video quality tests using various 3D display monitors, in order to examine whether these display monitors can produce consistent perceptual video quality scores for processed video sequences. The experimental results show that the subjective scores of those 3D monitors are highly correlated and it appears that similar subjective scores will be obtained even when different types of 3D displays are used.

Research on the Development of an Integral Imaging System Framework and an Improved Viewpoint Vector Rendering Method Utilizing GPU (GPU를 이용한 개선된 뷰포인트 벡터 렌더링 방식의 집적영상시스템 프레임워크에 관한 연구)

  • Lee, Bin-Na-Ra;Park, Kyoung-Shin;Cho, Yong-Joo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.10
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    • pp.1767-1772
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    • 2006
  • Computer-generated integral imaging system is an auto-stereoscopic display system that users can see and feel the stereoscopic images when they see the pre-rendered elemental images through a lens array. The process of constructing elemental images using computer graphics is called image mapping. Viewpoint vector rendering (VVR) method is one of the image mapping algorithm specially designed for real-time graphics applications, which would not be affected by the size of the rendered objects or the number of elemental lenses used in the integral imaging system. This paper describes a new VVR framework which improved its rendering performance considerably. It also compares the previous VVR implementation with the new VVR work utilizing GPU and shows that newer implementation shows pretty big improvements over the old method.

Automatic Stereo Matching for Auto-stereoscopic 3D display (무안경식 3D 디스플레이를 위한 자동 스테레오 정합)

  • Choi, Ho Yeol;Park, Jiho;Kim, Y.H.
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2012.07a
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    • pp.140-141
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    • 2012
  • 최근 영상분야의 키워드는 초고품질화, 초실감화, 스마트화로 대표될 수 있다. 그 중에서도 무안경식 3D는 초실감화를 이루기 위한 핵심응용분야 중 하나이다. 하지만 무안경식 3D 단말기가 성공적으로 보급되기 위해서는 연구되어야 할 분야가 여전히 존재한다. 그 중에서도 본 논문에서는 고화질의 무안경식 3D 스마트 콘텐츠 제작에 필요한 자동 스테레오 정합 기법을 제안하였다. 이전까지 연구된 변이지도 추출을 위한 알고리즘은 전역적 최적화 방법을 사용할 시 영상의 해상도와 깊이 정도에 따른 연산량의 증가로 많은 수행시간이 요구되었다. 또한 좌/우 영상의 intensity 정보만으로는 정확한 변이지도 추출이 어렵다는 한계점이 존재하였다. 이러한 이유로 본 논문에서는 스트림 영상에서 프레임 간의 정보를 이용하여 신뢰지도와 경계정보를 생성하였으며 belief propagation 스테레오 정합 방법을 이용하여 고화질의 정확한 변이지도를 추출하였다. 또한, 알고리즘의 연산량에 대한 문제를 해결하기 위한 고속화 방안으로, 최근 많은 연구가 이루어지고 있는 GPU(graphics processing units) 를 이용한 병렬처리를 연구하였다. 마지막으로 연구결과의 신뢰성을 향상하기 위하여 다양한 데이터를 이용한 실험을 통해 고화질의 영상정보를 고속으로 추출할 수 있음을 확인하였다.

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Fast Generation of Intermediate View Image Using GPGPU-Based Disparity Increment Method (GPGPU 기반의 변위증분 방법을 이용한 중간시점 고속 생성)

  • Koo, Ja-Myung;Seo, Young-Ho;Kim, Dong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.8
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    • pp.1908-1918
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    • 2013
  • Free-view, auto-stereoscopic video service is a next generation broadcasting system which offers a three-dimensional video, images of the various point are needed. This paper proposes a method that parallelizes the algorithm for arbitrary intermediate view-point image fast generation and make it faster using General Propose Graphic Processing Unit(GPGPU) with help of the Compute Unified Device Architecture(CUDA). It uses a parallelized stereo-matching method between the leftmost and the rightmost depth images to obtain disparity information and It use data calculated disparity increment per depth value. The disparity increment is used to find the location in the intermediate view-point image for each depth in the given images. Then, It is eliminate to disocclusions complement each other and remaining holes are filled image using hole-filling method and to get the final intermediate view-point image. The proposed method was implemented and applied to several test sequences. The results revealed that the quality of the generated intermediate view-point image corresponds to 30.47dB of PSNR in average and it takes about 38 frames per second to generate a Full HD intermediate view-point image.