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1 July 2009 Object-based pseudo-three-dimensional conversion of two-dimensional videos
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We describe a new algorithm to construct pseudo-3-D videos out of conventional 2-D videos at the viewing end, where no additional 3-D information is attached at the source of 2-D video production. We name such constructed videos pseudo-3-D on the grounds that the converted video is not true 3-D but presents a perceptual 3-D effect when viewed with a pair of polarized glasses. The proposed algorithm consists of two video processing stages: (1) semantic video object segmentation; and (2) estimation of disparities. In the first stage, we propose a constrained region-growing and filtering approach to improve existing segmentation techniques based on change detections. Such a processing stage ensures that disparities are estimated in terms of semantic video objects rather than textured regions, and thus improve the pseudo-3-D effect in terms of human visual perception. In the second stage, we propose a video object (VO)-size-based disparity estimation to construct additional video frames for the proposed pseudo-3-D video conversion. Experiments carried out demonstrate that the proposed algorithm effectively produces perceptually harmonious pseudo-3-D videos with the advantages of simplicity and low computing cost.
©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)
Jianmin Jiang and Guoqiang Xiao "Object-based pseudo-three-dimensional conversion of two-dimensional videos," Optical Engineering 48(7), 077007 (1 July 2009).
Published: 1 July 2009


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