• Title/Summary/Keyword: Layered Depth Images

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Layered Depth Image Representation And H.264 Encoding of Multi-view video For Free viewpoint TV (자유시점 TV를 위한 다시점 비디오의 계층적 깊이 영상 표현과 H.264 부호화)

  • Shin, Jong Hong
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.7 no.2
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    • pp.91-100
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    • 2011
  • Free viewpoint TV can provide multi-angle view point images for viewer needs. In the real world, But all angle view point images can not be captured by camera. Only a few any angle view point images are captured by each camera. Group of the captured images is called multi-view image. Therefore free viewpoint TV wants to production of virtual sub angle view point images form captured any angle view point images. Interpolation methods are known of this problem general solution. To product interpolated view point image of correct angle need to depth image of multi-view image. Unfortunately, multi-view video including depth image is necessary to develop a new compression encoding technique for storage and transmission because of a huge amount of data. Layered depth image is an efficient representation method of multi-view video data. This method makes a data structure that is synthesis of multi-view color and depth image. This paper proposed enhanced compression method using layered depth image representation and H.264/AVC video coding technology. In experimental results, confirmed high compression performance and good quality reconstructed image.

Intermixing Surface and Volume Visualization Using Layered Depth Images (다중 깊이 영상을 이용한 볼륨-표면 혼합 가시화)

  • Kye, Heewon
    • Journal of Korea Game Society
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    • v.13 no.2
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    • pp.99-110
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    • 2013
  • As volume rendering has been applied for computer game, the visualization of volume data with surface data in one scene has been required. Though a hybrid rendering of volume and surface data have been developed using the GPGPU functionality, computer games which run on low-level hardware are difficult to perform the hybrid rendering. In this paper, we propose a new hybrid rendering based on DirectX 9.0 and general hardware. We generate the layered depth images from surface data using a new method to reduce the depth complexity and generation time. Then, we perform the hybrid rendering using the layered depth images. In the rendering process, we suggest a new method to transform the coordinate system from a surface coordinate to a volume coorinate and propose an accelerated rendering technique. As the result, we can perform volume-surface hybrid rendering in an efficient way.

View Synthesis and Coding of Multi-view Data in Arbitrary Camera Arrangements Using Multiple Layered Depth Images

  • Yoon, Seung-Uk;Ho, Yo-Sung
    • Journal of Multimedia Information System
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    • v.1 no.1
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    • pp.1-10
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    • 2014
  • In this paper, we propose a new view synthesis technique for coding of multi-view color and depth data in arbitrary camera arrangements. We treat each camera position as a 3-D point in world coordinates and build clusters of those vertices. Color and depth data within a cluster are gathered into one camera position using a hierarchical representation based on the concept of layered depth image (LDI). Since one camera can cover only a limited viewing range, we set multiple reference cameras so that multiple LDIs are generated to cover the whole viewing range. Therefore, we can enhance the visual quality of the reconstructed views from multiple LDIs comparing with that from a single LDI. From experimental results, the proposed scheme shows better coding performance under arbitrary camera configurations in terms of PSNR and subjective visual quality.

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Scalable Coding of Depth Images with Synthesis-Guided Edge Detection

  • Zhao, Lijun;Wang, Anhong;Zeng, Bing;Jin, Jian
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.10
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    • pp.4108-4125
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    • 2015
  • This paper presents a scalable coding method for depth images by considering the quality of synthesized images in virtual views. First, we design a new edge detection algorithm that is based on calculating the depth difference between two neighboring pixels within the depth map. By choosing different thresholds, this algorithm generates a scalable bit stream that puts larger depth differences in front, followed by smaller depth differences. A scalable scheme is also designed for coding depth pixels through a layered sampling structure. At the receiver side, the full-resolution depth image is reconstructed from the received bits by solving a partial-differential-equation (PDE). Experimental results show that the proposed method improves the rate-distortion performance of synthesized images at virtual views and achieves better visual quality.

Digital Watermarking Technique of Compressed Multi-view Video with Layered Depth Image (계층적 깊이 영상으로 압축된 다시점 비디오에 대한 디지털 워터마크 기술)

  • Lim, Joong-Hee;Shin, Jong-Hong;Jee, Inn-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.9 no.1
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    • pp.1-9
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    • 2009
  • In this paper, proposed digital image watermarking technique with lifting wavelet transformation. This watermark technique can be easily extended in video content fields. Therefore, we apply this watermark technique to layered depth image structure that is efficient compression method of multi-view video with depth images. This application steps are very simple, because watermark is inserted only reference image. And watermarks of the other view images borrow from reference image. Each view image of multi-view video may be guaranteed authentication and copyright.

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LDI (Layered Depth Image) Representation Method using 3D GIS Implementation (LDI 표현방법을 이용한 3D GIS 구현)

  • Song Sang-Hun;Jung Young-Kee
    • KSCI Review
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    • v.14 no.1
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    • pp.231-239
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    • 2006
  • Geographic information system (GIS) geography reference it talks the software system which is possible. When like this geographic information system in key feature trying to observe the problem which is an expression of geography information in the center, the research and development with 3 dimension expressions is active from 2 dimension expressions of existing and it is advanced. double meaning geography information which is huge to be quick, the place where it controls efficiently there is a many problem, the ring from the dissertation which it sees and 3 dimensions and efficient scene of the GIS rendering compared to the ring from hazard image base modeling and rendering compared to hazard proposal LDI (Layered Depth Images) it uses GIS rendering compared to the ring to sleep it does. It acquired the terrain data of 3 dimensions from thread side base method. terrain data of 3 dimensions which are acquired like this the place where it has depth information like this depth information in base and the LDI, it did it created. Also it was a traditional modeling method and 3DS-Max it used and it created the LDI. It used LDI information which is acquired like this and the GIS of more efficient 3 dimensions rendering compared to the possibility of ring it was.

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3D Spatial Info Development using Layered Depth Images (계층적 깊이 영상을 활용한 3차원 공간정보 구현)

  • Song, Sang-Hun;Jo, Myung-Hee
    • Proceedings of the KSRS Conference
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    • 2007.03a
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    • pp.97-102
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    • 2007
  • 3차원 공간정보는 2차원에 비해 공간적 현실감이 뛰어나기 때문에 최근 경관분석,도시 계획 및 웹(Web) 을 통한 지도 서비스 분야 등에서 이에 대한 관심이 증가하고 있으나,3차원 공간 정보의 기하학적 특성상 기존의 2차원 공간정보에 비해 데이터 량이 방대해 지고 있으며 이를 활용한 또 다른 콘텐츠 제작과 빠르고 효율적인 처리에 많은 문제점을 가지고 있다. 본 논문에서는 이러한 문제점을 해결하기 위한 방법으로 위성 및 항공으로부터 획득한 DEM(Digital Elevation Model)을 이용하여 생성된 3차 원의 지형정보와 도시 모델링 및 텍스처 맵핑 과정을 통해 획득한 정보를 기반으로 하여 각각의 위치에 카메라를 설정하고, 설정된 카메라 위치를 기반으로 Camera Matrix를 구한다. 이렇게 획득한 카메라의 정보엔 깊이 정보를 포함하고 있는데,깊이 정보를 기반으로 하여 3차원의 워핑(Warping)작업을 통해 계층적 핍이 영상(LDI)를 생성하고,생성된 계층적 깊이 영상을 이용하여 3차원의 공간정보를 구현한다.

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Image Synthesis and Multiview Image Generation using Control of Layer-based Depth Image (레이어 기반의 깊이영상 조절을 이용한 영상 합성 및 다시점 영상 생성)

  • Seo, Young-Ho;Yang, Jung-Mo;Kim, Dong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.8
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    • pp.1704-1713
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    • 2011
  • This paper proposes a method to generate multiview images which use a synthesized image consisting of layered objects. The camera system which consists of a depth camera and a RGB camera is used in capturing objects and extracts 3-dimensional information. Considering the position and distance of the synthesizing image, the objects are synthesized into a layered image. The synthesized image is spaned to multiview images by using multiview generation tools. In this paper, we synthesized two images which consist of objects and human and the multiview images which have 37 view points were generated by using the synthesized images.

Impossible Drawing Using a Loop of Layered Depth Images (계층적 깊이 영상의 고리형 맞물림을 이용한 비현실적 그림 생성)

  • Lee, Yun-Jin;Kim, Jun-Ho
    • The Journal of the Korea Contents Association
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    • v.9 no.7
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    • pp.102-109
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    • 2009
  • In this paper, we present an algorithm which generates the impossible drawings after the manner of M.C. Escher. A class of the impossible drawings, focused on this paper, depicts the non-realistic configuration such that an ascent (or a descent) looks like keeping on permanently with a height-deceptive loop. We analyze the fact that the ascending direction in the non-realistic illustrations comes not from the physical heights of the objects but from the artist's intended forwarding direction about the loop, which does not have any physical sense of depths. The basic idea to support such impossible drawings is to use a loop of layered depth images (LDIs), where several LDIs are arranged along with the forwarding direction of the loop while having the physically constant heights. The height-deception between two adjacent objects comes from the layer values in the LDIs. In this paper, we propose a NPR system which can manipulate a shape of the loop and layer values of the LDIs and demonstrate several impossible drawings results generated by using our system.

A High-Quality Occlusion Filling Method Using Image Inpainting (영상 인페인팅을 이용한 고품질의 가려짐 영역 보간 방법)

  • Kim, Yong-Jin;Lee, Sang-Hwa;Park, Jong-Il
    • Journal of Broadcast Engineering
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    • v.15 no.1
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    • pp.3-13
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    • 2010
  • In this paper, we propose a method for filling out the occlusions in generating multi-view images from one source image and its ground-truth depth image. The method is based on image inpainting and layered interpolation. The source image is first divided into several layers using depth information. The occlusions are interpolated separately in every layered image using the image inpainting algorithm. Finally, the interpolated layered images are combined to obtain different viewpoint images. Interpolating occlusions with depth-correlated texture information that is contained to each layer makes it possible to obtain more detailed and accurate results than previous methods. The effectiveness of the proposed method is shown through experimental results.