Implementation of Parallel Computing FAST Algorithm on Mobile GPU

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 期刊論文 > Item 987654321/96460

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题名:	Implementation of Parallel Computing FAST Algorithm on Mobile GPU
作者:	Chou, Chien-Hsing;Liu, Peter;Wu, Tai-Yi;Chien, Yi-Hsiang
贡献者:	淡江大學電機工程學系
关键词:	FAST algorithm;GPU;corner detection;mobile device;SURF
日期:	2013-09-01
上传时间:	2014-03-07 11:43:48 (UTC+8)
出版者:	Dordrecht: Springer Netherlands
摘要:	Corner detection is an extremely important technique in image recognition, which is widely employed in various applications for image recognition. With the widespread use of mobile devices, image recognition techniques are frequently applied in such devices. However, the hardware resource of smartphones are lacked and restricted, it is a difficult task to apply the techniques of corner detection smoothly in these devices. To enhance the computational speed, the FAST corner detection algorithm is implemented with parallel computing of GPU in mobile devices. In the experiments, the computational speed of the FAST corner detection algorithm increases 24 times after using GPU parallel computing. Compared with the widely known SURF algorithm, which is computed with mobile CPU only, the proposed technique in this study is 468 times faster than SURF algorithm.
關聯:	Journal of Computational Information Systems 9(17), pp.1275-1281
DOI:	10.1007/978-1-4614-4981-2_139
显示于类别:	[電機工程學系暨研究所] 期刊論文

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