Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/88389
Title: Variational reconstruction using subdivision surfaces with continuous sharpness control
Authors: Wu, Xiaoqun
Zheng, Jianmin
Cai, Yiyu
Li, Haisheng
Keywords: Subdivision Surface
Variational Model
DRNTU::Engineering::Computer science and engineering
Issue Date: 2017
Source: Wu, X., Zheng, J., Cai, Y., & Li, H. (2017). Variational reconstruction using subdivision surfaces with continuous sharpness control. Computational Visual Media, 3(3), 217-228. doi:10.1007/s41095-017-0088-2
Series/Report no.: Computational Visual Media
Abstract: We present a variational method for subdivision surface reconstruction from a noisy dense mesh. A new set of subdivision rules with continuous sharpness control is introduced into Loop subdivision for better modeling subdivision surface features such as semi-sharp creases, creases, and corners. The key idea is to assign a sharpness value to each edge of the control mesh to continuously control the surface features. Based on the new subdivision rules, a variational model with L1 norm is formulated to find the control mesh and the corresponding sharpness values of the subdivision surface that best fits the input mesh. An iterative solver based on the augmented Lagrangian method and particle swarm optimization is used to solve the resulting non-linear, non-differentiable optimization problem. Our experimental results show that our method can handle meshes well with sharp/semi-sharp features and noise.
URI: https://hdl.handle.net/10356/88389
http://hdl.handle.net/10220/45730
ISSN: 2096-0433
DOI: http://dx.doi.org/10.1007/s41095-017-0088-2
Rights: © 2017 The Author(s). The articles published in this journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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