图像拼接
现场可编程门阵列
兰萨克
计算机科学
算法
特征(语言学)
算法设计
点(几何)
人工智能
计算机视觉
计算机硬件
图像(数学)
数学
语言学
哲学
几何学
作者
Zhifang Yang,Chenxi Hu,Dun Liu
标识
DOI:10.1109/aicit55386.2022.9930281
摘要
With the development of FPGA and computer vision technology, the image stitching system not only requires fast and accurate but also puts forward higher requirements for structure and power consumption. In traditional stitching, the SURF algorithm is high but has a complicated and time-consuming problem, so it proposes a FPGA image stitching system design based on improving the SURF algorithm. In order to improve the detection speed of the feature point, integrate it into the FAST algorithm, and use the improved Ransac algorithm to match the point of the matching point. Finally, the stitching image is fused with a weighted method. The entire system design uses SOC FPGA to achieve, combined with software and hardware, and gives full play to the advantages of FPGA parallel computing and the flexible control of ARM processors. The results show that this splicing system is small in size and can stabilize stitching with higher accuracy. It has greater theoretical value and is more suitable for embedded fields.
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