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2020 15th International Conference on Computer Engineering and Systems (ICCES)最新文献

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Parallel Dense Binary Stereo Matching Using CUDA 基于CUDA的并行密集二值立体匹配
Pub Date : 2020-12-15 DOI: 10.1109/ICCES51560.2020.9334591
H. Ibrahim, H. Khaled, Noha A. Seada, H. Faheem
This paper addresses the problem of dense stereo matching from two rectified images without prior information about the structure of the scene. CUDA is proposed to exploit the data independence inherently present in local stereo matching to handle the accuracy-time trade-off. To address edge fattening, the parallel implementation utilizes an outstanding aggregation technique that is followed by a hybrid matching metric which is proved to enhance the matching accuracy. By porting the whole pipeline to the GPU, a speedup ranging from 34x to 108x is achieved without compromising the accuracy of the resulting disparity map. The Middlebury benchmark and the latest dataset are used to evaluate the results.
本文解决了在没有先验场景结构信息的情况下,对两幅校正后的图像进行密集立体匹配的问题。提出利用局部立体匹配固有的数据独立性来处理精度与时间的权衡。为了解决边缘增肥问题,并行实现利用了一种出色的聚合技术,然后是混合匹配度量,该度量被证明可以提高匹配精度。通过将整个管道移植到GPU,可以实现从34倍到108倍的加速,而不会影响所得视差图的准确性。米德尔伯里基准和最新数据集用于评估结果。
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引用次数: 2
ICCES 2020 Committees ICCES 2020委员会
Pub Date : 2020-12-15 DOI: 10.1109/icces51560.2020.9334595
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引用次数: 0
Session PRE: Power and Renewable Energy 会议前:电力和可再生能源
Pub Date : 2020-12-15 DOI: 10.1109/icces51560.2020.9334592
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引用次数: 0
Session SE1: Software Engineering I 会议SE1:软件工程
Pub Date : 2020-12-15 DOI: 10.1109/icces51560.2020.9334668
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引用次数: 0
Session CCS: Communication Circuits and Systems 会议CCS:通信电路和系统
Pub Date : 2019-12-01 DOI: 10.1109/icces48960.2019.9068119
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引用次数: 0
Session CA: Computer Architecture 会话CA:计算机体系结构
Pub Date : 2019-12-01 DOI: 10.1109/icces.2015.7393029
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引用次数: 0
期刊
2020 15th International Conference on Computer Engineering and Systems (ICCES)
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