@inproceedings{98f1c2dea99241d49dc4740e8a6b7c3e,
title = "Multi-scale similarity enhanced guided normal filtering",
abstract = "In this paper, we propose a novel mesh denoising scheme in which multi-scale similarity is exploited to improve the performance of non-local normal filtering for feature-preserved mesh restoration. In our scheme, K-ring patches are used to identify multi-scale local structures around faces, and we compare the similarity between patches on multiple levels. The multi-scale similarities are subsequently computed by weighted similarity of patches. Finally, the center faces of similar patches are weighted by similarities in face normal filtering. Experimental results on different models indicate that the proposed method outperforms other local and non-scale-aware similarity based schemes in terms of both objective and subjective evaluations.",
keywords = "Face normal filtering, Feature-preserved, K-ring patch, Mesh denoising, Multi-scale similarity",
author = "Wenbo Zhao and Xianming Liu and Shiqi Wang and Debin Zhao",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 18th Pacific-Rim Conference on Multimedia, PCM 2017 ; Conference date: 28-09-2017 Through 29-09-2017",
year = "2018",
doi = "10.1007/978-3-319-77383-4\_63",
language = "英语",
isbn = "9783319773827",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "645--653",
editor = "Bing Zeng and Hongliang Li and Qingming Huang and \{El Saddik\}, Abdulmotaleb and Shuqiang Jiang and Xiaopeng Fan",
booktitle = "Advances in Multimedia Information Processing – PCM 2017 - 18th Pacific-Rim Conference on Multimedia, Revised Selected Papers",
address = "德国",
}