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A GPU-Based 3D Image Synthesizing Method for Real-Time Multiview Autostereoscopic Displays

Xiao-Qing Xu, Qiong-Hua Wang, Jun Liu, Jun Gu, Lei Li
Sch. of Electron. & Inf. Eng., Sichuan Univ., Chengdu, China
Symposium on Photonics and Optoelectronics (SOPO), 2011

@inproceedings{xu2011gpu,

   title={A GPU-Based 3D Image Synthesizing Method for Real-Time Multiview Autostereoscopic Displays},

   author={Xu, X.Q. and Wang, Q.H. and Liu, J. and Gu, J. and Li, L.},

   booktitle={Photonics and Optoelectronics (SOPO), 2011 Symposium on},

   pages={1–4},

   organization={IEEE},

   year={2011}

}

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Multiview autostereoscopic systems display three-dimensional (3D) images interleaved from parallax images to provide adequate viewing zones for viewers. A 3D image synthesizing method based on parallel processing with Graphic Processing Unit (GPU) is proposed to accelerate the image synthesizing for real-time autostereoscopic displays. The GPU-based 3D image synthesizing method is implemented with Direct3D Application Programming Interface (API) library. Compared with traditional methods using Central Processing Unit (CPU), the proposed method takes advantage of GPU graphic processing. The experiments prove that GPU-based 3D image synthesizing method can meet the requirement of real-time 3D image synthesizing and perform well in stereoscopic sense.
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