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3D scanning devices usually produce huge amounts of dense points, which require excessively large storage space and long post-processing times. This paper presents a new adaptive simplification method to reduce the number of the scanned dense points. An automatic recursive subdivision scheme is designed to pick out representative points and remove redundant points. It employs the k-means clustering...
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