2022
DOI: 10.1177/09544054221081330
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Surface reconstruction method for measurement data with outlier detection by using improved RANSAC and correction parameter

Abstract: The moving least squares (MLS) and moving total least squares (MTLS) are two of the most popular methods used for reconstructing measurement data, on account of their good local approximation accuracy. However, their reconstruction accuracy and robustness will be greatly reduced when there are outliers in measurement data. This article proposes an improved MTLS method (IMTLS), which introduces an improved random sample consensus (RANSAC) algorithm and a correction parameter in the support domain, to deal with … Show more

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