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|a eng
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|a Zhao, Shuang
|e verfasserin
|4 aut
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|a Inverse Diffusion Curves Using Shape Optimization
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|c 2018
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|a Date Completed 04.04.2019
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|a Date Revised 04.04.2019
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a The inverse diffusion curve problem focuses on automatic creation of diffusion curve images that resemble user provided color fields. This problem is challenging since the 1D curves have a nonlinear and global impact on resulting color fields via a partial differential equation (PDE). We introduce a new approach complementary to previous methods by optimizing curve geometry. In particular, we propose a novel iterative algorithm based on the theory of shape derivatives. The resulting diffusion curves are clean and well-shaped, and the final image closely approximates the input. Our method provides a user-controlled parameter to regularize curve complexity, and generalizes to handle input color fields represented in a variety of formats
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|a Durand, Fredo
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|a Zheng, Changxi
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|t IEEE transactions on visualization and computer graphics
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|g 24(2018), 7 vom: 06. Juli, Seite 2153-2166
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