淡江大學機構典藏:Item 987654321/117344
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    题名: FPGA-based hardware design for scale-invariant feature transform
    作者: 李世安
    关键词: Hardware;Computer architecture;Field programmable gate arrays;Feature extraction;Computational efficiency;Real-time systems;Transforms
    日期: 2018-08-03
    上传时间: 2019-10-08 12:10:36 (UTC+8)
    出版者: IEEE
    摘要: This paper proposes a novel hardware design method of scale-invariant feature transform (SIFT) algorithm for implementation on field-programmable gate array (FPGA). To reduce the computing costs, Gaussian kernels are calculated offline for use in Gaussian filters. To eliminate low-contrast points, the inverse of a Hessian matrix is required for hardware implementation, which results in poor performance because dividers are needed. To solve this problem, this paper presents a new mathematical derivation model to implement the low-contrast detection, avoiding the use of any dividers. For the implementation of the normalization module, a large number of dividers are required by traditional methods, which adversely affects the computational efficiency. This paper presents a new architecture using only one divider to implement the normalization function in hardware. Thanks to the parallel processing architecture proposed to design the image pyramid, SIFT detection, and SIFT descriptor, the computational efficiency of the SIFT algorithm is significantly improved. As a result of the proposed design method, the requirement of logic elements in the FPGA hardware is greatly reduced and system frequency is significantly increased. Experimental results show that the proposed hardware architecture outperforms existing techniques in terms of resource usage and computational efficiency for real-time image processing.
    關聯: IEEE Access
    显示于类别:[電機工程學系暨研究所] 專書

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