标题: | Real-Time 3D Depth Generation for Stereoscopic Video Applications with Thread-Level Superscalar-Pipeline Parallelization |
作者: | Jian, Guo-An Chien, Cheng-An Chen, Peng-Sheng Guo, Jiun-In 电子工程学系及电子研究所 Department of Electronics Engineering and Institute of Electronics |
关键字: | 3D image/video;Depth map;Stereo;Parallel computing |
公开日期: | 1-七月-2013 |
摘要: | We propose a low-complexity algorithm for stereoscopic video applications that generates a high-quality 3D image depth map from a single 2D image. Based on their characteristics, 2D images are classified into one of three categories before being processed by the proposed low-complexity algorithm to generate corresponding depth maps. We also extend the 3D depth algorithm to construct a parallel 3D video system. A thread-level superscalar-pipelining approach is developed to parallelize the 3D video system. Experimental results for HD1080 resolution images demonstrate that the algorithm can generate high-quality depth maps with an average reduction in the computational complexity of 98.2 % compared with a conventional algorithm. The parallel 3D video system can achieve a processing speed of 63.66 fps for HD720 resolution video. |
URI: | http://dx.doi.org/10.1007/s11265-012-0691-5 http://hdl.handle.net/11536/21839 |
ISSN: | 1939-8018 |
DOI: | 10.1007/s11265-012-0691-5 |
期刊: | JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY |
Volume: | 72 |
Issue: | 1 |
起始页: | 17 |
结束页: | 33 |
显示于类别: | Articles |
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