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A Real-Time Depth Map Refinement and Disparity Ranges Expansion System (DRDE) for Multiview Rendering

Published: 28 June 2016 Publication History

Abstract

Glasses-free stereoscopic three dimensional (3D) displays is becoming a competitive alternative to traditional 2D display presentations. Depth sensation, however, is still a major problem for most existing 3D displays. Multiview displays usually exhibit a fairly shallow disparity of field, and often fail to present sufficient disparity ranges for realistic natural scene. Besides, multiview rendering by depth image based rendering (DIBR) requires high-quality depth estimates. However, the exiting depth refinement methods are computational extensive, real time rendering for display is difficult to achieve. In this paper, we present a practical depth-map refinement and disparity ranges expansion system (DRDE) technique designed specifically for multiview rendering in 3D display. We use a reference image guiding method to quickly refine the initial depth map. After our proposed depth refinement, the outlines of the objects in the depth are enhanced while the areas with less texture are simultaneously smoothed, resulting in high quality multiview rendering images. For a greater disparity range, we modify the traditional parallactic transformation, which is generated by a parallel geometrical model, to a rotation one, during the virtual viewpoint image rendering process. We carried out extensive visualization experiments, and the results showed that our algorithm significantly improved the depth sensation in final 3D display. Our multiview rendering system with 1080 x 1920 image resolution for auto stereoscopic multiview display is able to achieve a rendering speed as fast as 62.5 frames per second (fps) for 9 viewpoints.

References

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Roy, O. E., Guy, R., Aaron, W., Ron, K., Alfred, M. B.: RGBD-Fusion: Real-Time High Precision Depth Recovery. In CVPR(2015).
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Hsin-Chia, S., Hsu-Feng, H.: A depth refinement algorithm for multi-view video synthesis. Acoustics Speech and Signal Processing (ICASSP)(2010).
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Hirschmĺźller,H.: Semi-Global Matching ĺC Motivation, Developments and Applications. Proc Photogrammetric Week, 173--184(2011).
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Pei, J., Geng, Z., Zhang, Z., Cao, X., Wang, R.: A Novel Optimization Method for Lenticular 3D Display Based on Light Field Decomposion. Journal of Display Technology(2016).
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  • (2018)12.2: A 3D Display Parallel System: Light Field Re‐rendering and Depth Sense OptimizationSID Symposium Digest of Technical Papers10.1002/sdtp.1265849:S1(125-131)Online publication date: 28-Nov-2018
  1. A Real-Time Depth Map Refinement and Disparity Ranges Expansion System (DRDE) for Multiview Rendering

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      cover image ACM Other conferences
      CGI '16: Proceedings of the 33rd Computer Graphics International
      June 2016
      130 pages
      ISBN:9781450341233
      DOI:10.1145/2949035
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      • FORTH: Foundation for Research and Technology - Hellas

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 28 June 2016

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      Author Tags

      1. 3D lenticular display
      2. Disparity Ranges Expansion
      3. Real-Time Depth Refinement

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      • Short-paper
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      • Refereed limited

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      CGI '16
      CGI '16: Computer Graphics International
      June 28 - July 1, 2016
      Heraklion, Greece

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      Overall Acceptance Rate 35 of 159 submissions, 22%

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      • (2018)12.2: A 3D Display Parallel System: Light Field Re‐rendering and Depth Sense OptimizationSID Symposium Digest of Technical Papers10.1002/sdtp.1265849:S1(125-131)Online publication date: 28-Nov-2018

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