论文信息 - Study on improved scale Invariant Feature Transform matching algorithm

Study on improved scale Invariant Feature Transform matching algorithm

False matching feature points are caused by Scale Invariant Feature Transform (SIFT) which just considers the local feature information. In order to improve the precision of matching feature points, this paper proposes a method that combines the SIFT matching, epipolar restrict and regional matching. It is used to eliminate the superfluous error matching points to improve matching accuracy.

Youliang Yang | Weili Liu | Lan Zhang

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