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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/96460

    Title: Implementation of Parallel Computing FAST Algorithm on Mobile GPU
    Authors: Chou, Chien-Hsing;Liu, Peter;Wu, Tai-Yi;Chien, Yi-Hsiang
    Contributors: 淡江大學電機工程學系
    Keywords: FAST algorithm;GPU;corner detection;mobile device;SURF
    Date: 2013-09-01
    Issue Date: 2014-03-07 11:43:48 (UTC+8)
    Publisher: Dordrecht: Springer Netherlands
    Abstract: 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.
    Relation: Journal of Computational Information Systems 9(17), pp.1275-1281
    DOI: 10.1007/978-1-4614-4981-2_139
    Appears in Collections:[電機工程學系暨研究所] 期刊論文

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