23 January 2018 Analyzing the impact of the initialization for the nonnegative tensor factorization in tensor displays
Author Affiliations +
Abstract
Tensor display is an option in glasses-free three-dimensional (3-D) display technology. An initial solution has to be set to decompose the light-field information to be represented by the system. We have analyzed the impact of the initial guess on the multiplicative update rules in terms of peak signal-to-noise ratio, and proposed a method based on depth map estimation from an input light field. Results from simulations were obtained and compared with previous literature. In our sample, the initial values used have a large influence on results and convergence to a local minimum. The quality of the output stabilizes after a certain number of iterations, suggesting that a limit on such numbers should be imposed. We show that the proposed methods outperform the pre-existing ones.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2018/$25.00 © 2018 SPIE
David Carmona-Ballester, Juan Manuel Trujillo-Sevilla, Sergio Bonaque-González, Ángela Hernández-Delgado, and José Manuel Rodríguez-Ramos "Analyzing the impact of the initialization for the nonnegative tensor factorization in tensor displays," Optical Engineering 57(6), 061603 (23 January 2018). https://doi.org/10.1117/1.OE.57.6.061603
Received: 19 September 2017; Accepted: 27 December 2017; Published: 23 January 2018
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
3D displays

LCDs

Lanthanum

Optical engineering

Reconstruction algorithms

Multiplexing

Signal to noise ratio

RELATED CONTENT

Depth control GRIN lens array for integral photography
Proceedings of SPIE (November 26 2003)
Extended-field-of-view 3D monitor without eyewear
Proceedings of SPIE (June 17 1998)
Time-multiplexing 3D display using fast light shutter
Proceedings of SPIE (September 26 2007)

Back to Top