Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Publication
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Multiview autostereoscopic displays are considered as the future of 3DTV. However, these displays suffer from a high level of crosstalk, which negatively impacts quality of experience (QoE). In this paper, we propose a system to improve 3D QoE on multiview autostereoscopic displays. First, the display is characterized in terms of luminance distribution. Then, the luminance profiles are modeled using a limited set of parameters. A Kinect sensor is used to determine the viewer position in front of the display. Finally, the proposed system performs an intelligent on the fly allocation of the output views to minimize the perceived crosstalk. The user preference between 2D and 3D modes and the proposed system is evaluated. Results show that picture quality is significantly improved when compared to the standard 3D mode, for a similar depth perception and visual comfort.