Normal voting tensor based points set denoising
Sunil Kumar Yadav, Konrad Polthier · Software Impacts · 2020
Point set denoising is a vital pre-processing step in several computer graphics and medical imaging applications. This article introduces an effective point set denoising software, which is able to remove noise components from the input point set without blurring important sharp features. This software is capable of producing a high fidelity point set, which is desired in several medical applications as it controls the volume shrinkage during the denoising process.