Guided Mesh Normal Filtering

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...

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Veröffentlicht in:	Computer graphics forum Jg. 34; H. 7; S. 23 - 34
Hauptverfasser:	Zhang, Wangyu, Deng, Bailin, Zhang, Juyong, Bouaziz, Sofien, Liu, Ligang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Blackwell Publishing Ltd 01.10.2015
Schlagworte:	and systems Categories and Subject Descriptors (according to ACM CCS) Computer science Construction Filtering Filters Filtration Flexibility I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Geometric algorithms I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling—Geometric algorithms, languages, and systems Image processing Image processing systems Kernels languages Orientation Studies United States > US
ISSN:	0167-7055, 1467-8659
Online-Zugang:	Volltext
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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.
AbstractList	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.
Author	Deng, Bailin Liu, Ligang Zhang, Wangyu Bouaziz, Sofien Zhang, Juyong
Author_xml	– sequence: 1 givenname: Wangyu surname: Zhang fullname: Zhang, Wangyu organization: University of Science and Technology of China – sequence: 2 givenname: Bailin surname: Deng fullname: Deng, Bailin organization: École polytechnique fédérale de Lausanne – sequence: 3 givenname: Juyong surname: Zhang fullname: Zhang, Juyong email: juyong@ustc.edu.cn organization: University of Science and Technology of China – sequence: 4 givenname: Sofien surname: Bouaziz fullname: Bouaziz, Sofien organization: École polytechnique fédérale de Lausanne – sequence: 5 givenname: Ligang surname: Liu fullname: Liu, Ligang organization: University of Science and Technology of China
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Copyright	2015 The Author(s) Computer Graphics Forum © 2015 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd. 2015 The Eurographics Association and John Wiley & Sons Ltd.
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Snippet	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...
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SubjectTerms	and systems Categories and Subject Descriptors (according to ACM CCS) Computer science Construction Filtering Filters Filtration Flexibility I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Geometric algorithms I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling—Geometric algorithms, languages, and systems Image processing Image processing systems Kernels languages Orientation Studies
Title	Guided Mesh Normal Filtering
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