Study on Viewpoint-Dependent Time-Multiplexing for Weighted Optimization of 3D Layered Displays

Armand Losfeld, Daniele Bonatto, Gauthier Lafruit, Mehrdad Teratani

Abstract: 3D Layered displays are a type of 3D display that stacks LCD panels to reproduce different viewpoints of a scene without glasses. However, these displays fail at reproducing high-parallax scenes, thereby limiting their Field of View (FoV). To enhance the FoV, various strategies have been employed, including the multiplexing of distinct sets of layered images, i.e. frames. Despite achieving improved quality, this multiplexing method let no control to adjust the quality of the frames depending on its application. By introducing distinct weights for each frame during the optimization process, we expect to improve the frames’ optimization based on the input data, and thus, the quality of the display. This weighted-multiplexing method motivates us to investigate the use of a first weighted-multiplexing method to study exhaustively the impact of the weights on the multiplexing optimization process. The proposed method involves viewpoint-dependent time-multiplexing where each frame is tailored to optimize a specific viewing region within the FoV. To define the weights of each frame, three weighted approaches are then proposed. Three objective evaluations and one subjective comparison are presented in the study.

External IDs:dblp:conf/euvip/LosfeldBLT23