id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-8574	Tian, Hui; Liu, Gang	Target Local Matching Recognition Algorithm based on Improved Harris Key Point Detection Operator	2023	3	.pdf	application/pdf	1819	64	48	Matching results 2 From the detection results of Figure2, it can be seen that the feature points extracted by the original Harris algorithm have a pair of matching errors, and the points on the wing are matched to the fuselage; The improved Harris algorithm extracts feature point pairs that match correctly, and for unblocked aircraft, the improved algorithm extracts feature points on the nose, tail, and wing, while the original algorithm does not extract feature points on the wing. Therefore, on the basis of Harris corner point detection, the corner point detector is constructed by calculating the minimum eigenvalue of the autocorrelation matrix as the corner point response function, so that there is no need to adjust the k value: ),min( 21 R (6) 3.	cache/fcis-8574.pdf	txt/fcis-8574.txt