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- W2386366438 abstract "Aimed at some large-size aerial images,a fast and effective feature point matching method is proposed In this paper,w e use the feature point extracting method w ith the combination of Laplacian pyramid and a specified non-uniform N-dimensional directional filter to realize image filtering and extract the local extreme points.The direction and the scale information can be kept w hile making quick extraction of the feature points.Then w e apply a binary descriptor to depict feature points in different scales,and the distance of descriptors can be quickly computed by XOR operation.Using a specified threshold to avoid mismatching,applying RANSAC to eliminate mismatching points,the paper presents experimental results to show that the proposed method is efficient for large-size aerial image with the assurance of the matching rate and accuracy." @default.
- W2386366438 created "2016-06-24" @default.
- W2386366438 creator A5053874456 @default.
- W2386366438 date "2013-01-01" @default.
- W2386366438 modified "2023-09-26" @default.
- W2386366438 title "A feature point matching method for large-size aerial image" @default.
- W2386366438 hasPublicationYear "2013" @default.
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