Accurate correction of surface noises of polygonal meshes

In this paper we propose a new algorithm for accurate correction of surface noises of polygonal meshes. It consists of three basic components: (a) feature-preserving pre-smoothing; (b) partitioning of feature and non-feature regions; (c) second-order predictor for non-feature regions and median filter for feature regions. The unique contributions of our approach include (a) an idea of partitioning an input surface into feature and non-feature regions so that different smoothing algorithms, which are best suited for either feature or non-feature regions can be, respectively, applied; (b) a secondorder predictor that provides higher smoothing accuracy and better convergence on smoothly curved surfaces. In comparison with several existing algorithms, our algorithm is evaluated quantitatively in terms of surface normal and vertex distance error metrics. Numerical experiments indicate the effectiveness of our approach in the aspects of convergence and accuracy