Paper
26 September 2013 Multiview synthesis for autostereoscopic displays
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Abstract
Autostereoscopic (AS) displays spatially multiplex multiple views, providing a more immersive experience by enabling users to view the content from different angles without the need of 3D glasses. Multiple views could be captured from multiple cameras at different orientations, however this could be expensive, time consuming and not applicable to some applications. The goal of multiview synthesis in this paper is to generate multiple views from a stereo image pair and disparity map by using various video processing techniques including depth/disparity map processing, initial view interpolation, inpainting and post-processing. We specifically emphasize the need for disparity processing when there is no depth information is available that is associated with the 2D data and we propose a segmentation based disparity processing algorithm to improve disparity map. Furthermore we extend the texture based 2D inpainting algorithm to 3D and further improve the hole-filling performance of view synthesis. The benefit of each step of the proposed algorithm is demonstrated with comparison to state of the art algorithms in terms of visual quality and PSNR metric. Our system is evaluated in an end-to-end multi view synthesis framework where only stereo image pair is provided as input to the system and 8 views are outputted and displayed in 8-view Alioscopy AS display.
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Gökçe Dane and Vasudev Bhaskaran "Multiview synthesis for autostereoscopic displays", Proc. SPIE 8856, Applications of Digital Image Processing XXXVI, 885610 (26 September 2013); https://doi.org/10.1117/12.2026554
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KEYWORDS
Cameras

Autostereoscopic displays

Visualization

Associative arrays

Detection and tracking algorithms

Gaussian filters

Image processing algorithms and systems

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