Robust Smoothing of Noisy Point Clouds
نویسندگان
چکیده
This paper addresses the problem of removing the noise from noisy points clouds in the context of surface reconstruction. We introduce a new smoothing operator Q inspired by the moving least-squares method and robust statistics theory. Our method can be seen as an improvement of the moving least-squares method to preserve sharp features. We also present effective numerical optimization algorithms to compute Q and some theoretical results on their convergence. §
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تاریخ انتشار 2003