Depth Scaling of Multiview Images for Automultiscopic 3D Monitors
Manbae Kim, Seno Lee, Changyeol Choi, Gi‐Mun Um, Namho Hur, Jinwoong Kim · 2008
In this paper, we present a depth scaling method for multiview images that could provide an effective control of stereoscopic depth range. Unlike the previous works that change a camera configuration, our proposed method utilizes depth data in order to carry out the scaling of a depth range requested by users. In particular, our method can deal with multiview images captured by multiple cameras, and can be expanded from stereoscopic to multiview images. Our experimental results tested on automultiscopic 3D displays show that the perceived depth is appropriately scaled according to a user's preferred depth.