Spatially Adaptive Regularizer for Mesh Denoising

Spatially Adaptive Regularizer for Mesh Denoising

Mesh denoising is a fundamental yet not well-solved problem in computer graphics. Many existing methods formulate the mesh denoising as an optimization problem, whereby the optimized mesh could best fit both the input and a set of constraints defined as an L<sub>p</sub> norm regularizer....

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Bibliographic Details
Main Authors: Xuan Cheng, Yinglin Zheng, Yuhui Zheng, Fang Chen, Kunhui Lin
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Lₚ</italic> norm
mesh denoising
optimization
regularizer
spatially adaptive
Online Access:https://ieeexplore.ieee.org/document/9063501/

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https://ieeexplore.ieee.org/document/9063501/

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