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Guided mesh normal filtering

Zhang, Wangyu, Deng, Bailin, Zhang, Juyong, Bouaziz, Sofien and Liu, Ligang 2015. Guided mesh normal filtering. Computer Graphics Forum 34 (7) , pp. 23-34. 10.1111/cgf.12742

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Abstract

The joint bilateral filter is a variant of the standard bilateral filter, where the range kernel is evaluated using a guidance signal instead of the original signal. It has been successfully applied to various image processing problems, where it provides more flexibility than the standard bilateral filter to achieve high quality results. On the other hand, its success is heavily dependent on the guidance signal, which should ideally provide a robust estimation about the features of the output signal. Such a guidance signal is not always easy to construct. In this paper, we propose a novel mesh normal filtering framework based on the joint bilateral filter, with applications in mesh denoising. Our framework is designed as a two-stage process: first, we apply joint bilateral filtering to the face normals, using a properly constructed normal field as the guidance; afterwards, the vertex positions are updated according to the filtered face normals. We compute the guidance normal on a face using a neighboring patch with the most consistent normal orientations, which provides a reliable estimation of the true normal even with a high-level of noise. The effectiveness of our approach is validated by extensive experimental results

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: Wiley-Blackwell
ISSN: 0167-7055
Date of First Compliant Deposit: 2 May 2017
Last Modified: 23 May 2020 17:57
URI: http://orca.cf.ac.uk/id/eprint/98567

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