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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