publication . Preprint . Article . 2016

Mesh Denoising based on Normal Voting Tensor and Binary Optimization

Sunil Kumar Yadav; Ulrich Reitebuch; Konrad Polthier;
Open Access English
  • Published: 20 Jul 2016
This paper presents a tensor multiplication based smoothing algorithm that follows a two step denoising method. Unlike other traditional averaging approaches, our approach uses an element based normal voting tensor to compute smooth surfaces. By introducing a binary optimization on the proposed tensor together with a local binary neighborhood concept, our algorithm better retains sharp features and produces smoother umbilical regions than previous approaches. On top of that, we provide a stochastic analysis on the different kinds of noise based on the average edge length. The quantitative and visual results demonstrate the performance our method is better compar...
Persistent Identifiers
ACM Computing Classification System: ComputingMethodologies_COMPUTERGRAPHICS
free text keywords: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Graphics, Mathematics - Differential Geometry, Signal Processing, Software, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Noise measurement, Smoothing, Mathematical optimization, Noise reduction, Binary number, Stress (mechanics), Algorithm, Geometry processing, Stochastic process, Tensor, Computer science
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