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Optimizing stereo‐to‐multiview conversion for autostereoscopic displays
Author(s) -
Chapiro Alexandre,
Heinzle Simon,
Aydın Tunç Ozan,
Poulakos Steven,
Zwicker Matthias,
Smolic Aljosa,
Gross Markus
Publication year - 2014
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.12291
Subject(s) - autostereoscopy , computer science , computer vision , artificial intelligence , salient , image warping , stereo display , depth map , range (aeronautics) , stereoscopy , stereopsis , computer graphics (images) , image (mathematics) , materials science , composite material
We present a novel stereo‐to‐multiview video conversion method for glasses‐free multiview displays. Different from previous stereo‐to‐multiview approaches, our mapping algorithm utilizes the limited depth range of autostereoscopic displays optimally and strives to preserve the scene's artistic composition and perceived depth even under strong depth compression. We first present an investigation of how perceived image quality relates to spatial frequency and disparity. The outcome of this study is utilized in a two‐step mapping algorithm, where we (i) compress the scene depth using a non‐linear global function to the depth range of an autostereoscopic display and (ii) enhance the depth gradients of salient objects to restore the perceived depth and salient scene structure. Finally, an adapted image domain warping algorithm is proposed to generate the multiview output, which enables overall disparity range extension.