A 3D image interleaving method for real-time autostereoscopic display based on GPU |
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| Authors: | Xiao-Qing Xu Qiong-Hua Wang Jun Liu Jun Gu Lei Li |
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| Institution: | 1. School of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China;2. State Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu 610065, China |
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| Abstract: | Multiview autostereoscopic systems display three-dimensional (3D) images interleaved from parallax images to provide adequate viewing zones for viewers. A 3D image interleaving method based on parallel processing with Graphic Processing Unit (GPU) is proposed to accelerate the image interleaving for real-time autostereoscopic displays. The proposed method is implemented with Direct3D Application Programming Interface (API) library. Masks used to interleave the 3D images are generated according to some particular principles. Both multiple texture blending and alpha blending operations are used to interleave a 3D image. The experiments prove that high interleaving efficiency and good stereoscopic sense can be obtained. The proposed method meets the requirement of real-time multiview autostereoscopic displays and avoids extra shader program. |
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