Adaptive clustering feature matching algorithm based on SIFT and RANSAC

2021 2nd International Conference on Electronics, Communications and Information Technology (CECIT)（2021）

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摘要

Scale-invariant feature transform (SIFT) algorithm is widely used in the field of image matching. The traditional SIFT does not perform well in terms of computational complexity and matching accuracy in complex scenes. Based on the above problems, an improved SIFT and RANSAC algorithm is proposed in this paper. When selecting extreme points, the original 26 reference points in DOG space are extend...

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关键词

Simulation,Image matching,Clustering algorithms,Transforms,Euclidean distance,Dogs,Robustness

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