Research on FPGA-based image feature matching algorithm

Keqing Ning; Lirong Qiao; Na Xing; Minghua Du

doi:10.1117/12.3033906

13 June 2024 Research on FPGA-based image feature matching algorithm

Keqing Ning, Lirong Qiao, Na Xing, Minghua Du

Proceedings Volume 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024); 131800M (2024) https://doi.org/10.1117/12.3033906
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 2024, Guangzhou, China

Abstract

Feature point detection algorithms have been widely used in the fields of object recognition, panorama stitching, and robot navigation. SIFT algorithm is a robust feature detection method widely used in image processing and computer vision. This design proposes a SIFT algorithm based on FPGA development platform implementation, which reduces the computational complexity and improves the processing speed by adopting a pipelined architecture. The matching results show that the algorithm has good invariance to image rotation, illumination, affine, scale and can meet the needs of feature matching, and there is a certain practical application value.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Keqing Ning, Lirong Qiao, Na Xing, and Minghua Du "Research on FPGA-based image feature matching algorithm", Proc. SPIE 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 131800M (13 June 2024); https://doi.org/10.1117/12.3033906

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