An improvement on the keypoint detection method of SIFT for hardware computation

Han Xiao, Kui Yuan, Wenhao He
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引用次数: 5

Abstract

In order to achieve real-time detection of SIFT keypoints through hardware computation on FPGA, the original algorithm was redesigned to accommodate the parallel computation and pipelined structure of hardware. The computation accuracy of fixed-point number is improved by the new scheme, while the computation amount of the whole algorithm is greatly reduced and hardware cost is saved. In the aspect of performance, the new scheme is as robust to image noise as the original algorithm, while the scale invariance of keypoints has been improved dramatically.
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基于硬件计算的SIFT关键点检测方法改进
为了在FPGA上通过硬件计算实现SIFT关键点的实时检测,对原有算法进行了重新设计,以适应硬件的并行计算和流水线结构。新方案提高了定点数的计算精度,同时大大减少了整个算法的运算量,节省了硬件成本。在性能方面,新方案对图像噪声的鲁棒性与原算法相当,同时关键点的尺度不变性得到了显著提高。
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