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Towards Efficient 3D Calibration for Different Types of Multi-view Autostereoscopic 3D Displays

Published: 11 June 2018 Publication History

Abstract

A novel and efficient 3D calibration method for different types of autostereoscopic multi-view 3D displays is presented in this paper. In our method, a camera is placed at different locations within the viewing volume of a 3D display to capture a series of images that relate to the subset of light rays emitted by the 3D display and arriving at each of the camera positions. Gray code patterns modulate the images shown on the 3D display, helping to significantly reduce the number of images captured by the camera and thereby accelerate the process of calculating the correspondence relationship between the pixels on the 3D display and the locations of the capturing camera. The proposed calibration method has been successfully tested on two different types of multi-view 3D displays and can be easily generalized for calibrating other types of such displays. The experimental results show that this novel 3D calibration method can also be used to improve the image quality by reducing the frequently observed crosstalk that typically exists when multiple users are simultaneously viewing multi-view 3D displays from a range of viewing positions.

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Cited By

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  • (2022)An AI-empowered Cloud Solution towards End-to-End 2D-to-3D Image Conversion for Autostereoscopic 3D DisplayProceedings of the 28th ACM Symposium on Virtual Reality Software and Technology10.1145/3562939.3565674(1-2)Online publication date: 29-Nov-2022
  • (2021)Towards Stereoscopic On-vehicle AR-HUDThe Visual Computer10.1007/s00371-021-02209-zOnline publication date: 25-Jun-2021
  • (2020)Dynamic Image Adjustment Method and Evaluation for Glassless 3D Viewing SystemsIEICE Transactions on Information and Systems10.1587/transinf.2019EDP7204E103.D:11(2351-2361)Online publication date: 1-Nov-2020

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  1. Towards Efficient 3D Calibration for Different Types of Multi-view Autostereoscopic 3D Displays

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      cover image ACM Other conferences
      CGI 2018: Proceedings of Computer Graphics International 2018
      June 2018
      284 pages
      ISBN:9781450364010
      DOI:10.1145/3208159
      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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      Publication History

      Published: 11 June 2018

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      Author Tags

      1. 3D calibration
      2. Autostereoscopic displays
      3. Gray code patterns

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      CGI 2018
      CGI 2018: Computer Graphics International 2018
      June 11 - 14, 2018
      Island, Bintan, Indonesia

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      CGI 2018 Paper Acceptance Rate 35 of 159 submissions, 22%;
      Overall Acceptance Rate 35 of 159 submissions, 22%

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      View all
      • (2022)An AI-empowered Cloud Solution towards End-to-End 2D-to-3D Image Conversion for Autostereoscopic 3D DisplayProceedings of the 28th ACM Symposium on Virtual Reality Software and Technology10.1145/3562939.3565674(1-2)Online publication date: 29-Nov-2022
      • (2021)Towards Stereoscopic On-vehicle AR-HUDThe Visual Computer10.1007/s00371-021-02209-zOnline publication date: 25-Jun-2021
      • (2020)Dynamic Image Adjustment Method and Evaluation for Glassless 3D Viewing SystemsIEICE Transactions on Information and Systems10.1587/transinf.2019EDP7204E103.D:11(2351-2361)Online publication date: 1-Nov-2020

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