Research on FPGA-based Image Feature Matching Algorithm

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.