Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Display Technology
  • Vol. 11,
  • Issue 10,
  • pp. 792-799
  • (2015)

Efficient Light-Field Rendering Using Depth Maps for 100-Mpixel Multi-Projection 3D Display

Not Accessible

Your library or personal account may give you access

Abstract

In order to achieve an immersive, natural 3D experience on a large screen, a 100-Mpixel multi-projection 3D display was developed. Ninety-six projectors were used to increase the number of rays emanating from each pixel in the horizontal direction to 96. Conventional algorithms use a large number of cameras or input images to process a large number of light rays. This creates difficulties in the design of both the large acquiring system and substantial memory storage. In this paper, we propose an efficient light-field rendering algorithm that utilizes only a few input colors and depth images. Using a depth map and estimated camera parameters, synthesized light-field images are directly generated. This algorithm requires a much lighter memory load than conventional light-field rendering algorithms. It is also much simpler than the image-based rendering algorithm because it does not require the generation of so many multiview images.

© 2015 IEEE

PDF Article
More Like This
Optimal projector configuration design for 300-Mpixel multi-projection 3D display

Jin-Ho Lee, Juyong Park, Dongkyung Nam, Seo Young Choi, Du-Sik Park, and Chang Yeong Kim
Opt. Express 21(22) 26820-26835 (2013)

Multiview and light-field reconstruction algorithms for 360° multiple-projector-type 3D display

Qing Zhong, Yifan Peng, Haifeng Li, Chen Su, Weidong Shen, and Xu Liu
Appl. Opt. 52(19) 4419-4425 (2013)

Autostereoscopic 3D display using directional subpixel rendering

Seok Lee, Juyoung Park, Jingu Heo, Byongmin Kang, Dongwoo Kang, Hyoseok Hwang, Jinho Lee, Yoonsun Choi, Kyuhwan Choi, and Dongkyung Nam
Opt. Express 26(16) 20233-20233 (2018)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.