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- W2387251138 abstract "If ORB was applied to feature matching in Digital Photogrammetry,there would be many problems,such as unevenly distributing,high mismatching rate and low matching precision. In this paper,we solved these problems through controlling features' number and distribution,appending epipolar constraint and the correlation coefficient,and combining with the least squares matching. In addition,we calculated the affine transformation parameters between images,as initial value of geometric distortion parameters of the least squares matching.Experiments show that this algorithm can not only maintain the efficiency of ORB algorithm,to obtain well-distributed and high accuracy matching features,but also for larger rotation with a certain degree of adaptability." @default.
- W2387251138 created "2016-06-24" @default.
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- W2387251138 date "2015-01-01" @default.
- W2387251138 modified "2023-09-23" @default.
- W2387251138 title "An Improved Image Matching Method Based on ORB Improved" @default.
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