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research-article

Joint view expansion and filtering for automultiscopic 3D displays

Published: 01 November 2013 Publication History

Abstract

Multi-view autostereoscopic displays provide an immersive, glasses-free 3D viewing experience, but they require correctly filtered content from multiple viewpoints. This, however, cannot be easily obtained with current stereoscopic production pipelines. We provide a practical solution that takes a stereoscopic video as an input and converts it to multi-view and filtered video streams that can be used to drive multi-view autostereoscopic displays. The method combines a phase-based video magnification and an interperspective antialiasing into a single filtering process. The whole algorithm is simple and can be efficiently implemented on current GPUs to yield a near real-time performance. Furthermore, the ability to retarget disparity is naturally supported. Our method is robust and works well for challenging video scenes with defocus blur, motion blur, transparent materials, and specularities. We show that our results are superior when compared to the state-of-the-art depth-based rendering methods. Finally, we showcase the method in the context of a real-time 3D videoconferencing system that requires only two cameras.

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  • (2022)NeuralPassthrough: Learned Real-Time View Synthesis for VRACM SIGGRAPH 2022 Conference Proceedings10.1145/3528233.3530701(1-9)Online publication date: 27-Jul-2022
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      cover image ACM Transactions on Graphics
      ACM Transactions on Graphics  Volume 32, Issue 6
      November 2013
      671 pages
      ISSN:0730-0301
      EISSN:1557-7368
      DOI:10.1145/2508363
      Issue’s Table of Contents
      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 the author(s) 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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      Publication History

      Published: 01 November 2013
      Published in TOG Volume 32, Issue 6

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      Author Tags

      1. automultiscopic displays
      2. interperspective antialiasing
      3. view synthesis

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      • (2022)Modified 2D-Ghost-Free Stereoscopic Display with Depth-of-Field EffectsACM Transactions on Multimedia Computing, Communications, and Applications10.1145/353496419:1s(1-16)Online publication date: 12-May-2022
      • (2022)NeuralPassthrough: Learned Real-Time View Synthesis for VRACM SIGGRAPH 2022 Conference Proceedings10.1145/3528233.3530701(1-9)Online publication date: 27-Jul-2022
      • (2022)Epipolar plane images based light-field angular super-resolution networkSeventh Asia Pacific Conference on Optics Manufacture (APCOM 2021)10.1117/12.2615593(146)Online publication date: 15-Feb-2022
      • (2022)HiddenGazeStereo: Hiding Gaze-Contingent Disparity Remapping for 2D-Compatible Natural 3D ViewingIEEE Access10.1109/ACCESS.2022.320487410(94778-94796)Online publication date: 2022
      • (2022)Phase-based side information generation in distributed video codingMultimedia Tools and Applications10.1007/s11042-022-12589-681:15(21295-21312)Online publication date: 1-Jun-2022
      • (2021)Frame Rate Up-Conversion Algorithm Based on Infrared ImageProceedings of the 13th International Conference on Computer Modeling and Simulation10.1145/3474963.3475843(225-230)Online publication date: 25-Jun-2021
      • (2021)A Fast View Synthesis Implementation Method for Light Field ApplicationsACM Transactions on Multimedia Computing, Communications, and Applications10.1145/345909817:4(1-20)Online publication date: 30-Nov-2021
      • (2021)Super Resolution for Multi-Sources Image Stream Data using Smooth and Sparse Tensor Completion and its Applications in Data Acquisition of Additive ManufacturingTechnometrics10.1080/00401706.2021.1905074(1-41)Online publication date: 19-Mar-2021
      • (2021)A comprehensive survey on video frame interpolation techniquesThe Visual Computer10.1007/s00371-020-02016-yOnline publication date: 4-Jan-2021
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