Volume 6, Issue 1
Stroke-Based Surface Reconstruction

Numer. Math. Theor. Meth. Appl., 6 (2013), pp. 297-324.

Published online: 2013-06

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• Abstract

In this paper, we present a surface reconstruction via 2D strokes and a vector field on the strokes based on a two-step method. In the first step, from sparse strokes drawn by artists and a given vector field on the strokes, we propose a nonlinear vector interpolation combining total variation (TV) and $H^1$ regularization with a curl-free constraint for obtaining a dense vector field. In the second step, a height map is obtained by integrating the dense vector field in the first step. Jump discontinuities in surface and discontinuities of surface gradients can be well reconstructed without any surface distortion. We also provide a fast and efficient algorithm for solving the proposed functionals. Since vectors on the strokes are interpreted as a projection of surface gradients onto the plane, different types of strokes are easily devised to generate geometrically crucial structures such as ridge, valley, jump, bump, and dip on the surface. The stroke types help users to create a surface which they intuitively imagine from 2D strokes. We compare our results with conventional methods via many examples.

• Keywords

Surface reconstruction from a sparse vector field, augmented Lagrangian method, two-step method, curl-free constraint, total variation regularization, preservation of discontinuities in surface normal vectors.

65K10, 65D18, 65D17

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• TXT
@Article{NMTMA-6-297, author = {}, title = {Stroke-Based Surface Reconstruction}, journal = {Numerical Mathematics: Theory, Methods and Applications}, year = {2013}, volume = {6}, number = {1}, pages = {297--324}, abstract = {

In this paper, we present a surface reconstruction via 2D strokes and a vector field on the strokes based on a two-step method. In the first step, from sparse strokes drawn by artists and a given vector field on the strokes, we propose a nonlinear vector interpolation combining total variation (TV) and $H^1$ regularization with a curl-free constraint for obtaining a dense vector field. In the second step, a height map is obtained by integrating the dense vector field in the first step. Jump discontinuities in surface and discontinuities of surface gradients can be well reconstructed without any surface distortion. We also provide a fast and efficient algorithm for solving the proposed functionals. Since vectors on the strokes are interpreted as a projection of surface gradients onto the plane, different types of strokes are easily devised to generate geometrically crucial structures such as ridge, valley, jump, bump, and dip on the surface. The stroke types help users to create a surface which they intuitively imagine from 2D strokes. We compare our results with conventional methods via many examples.

}, issn = {2079-7338}, doi = {https://doi.org/10.4208/nmtma.2013.mssvm16}, url = {http://global-sci.org/intro/article_detail/nmtma/5905.html} }
TY - JOUR T1 - Stroke-Based Surface Reconstruction JO - Numerical Mathematics: Theory, Methods and Applications VL - 1 SP - 297 EP - 324 PY - 2013 DA - 2013/06 SN - 6 DO - http://doi.org/10.4208/nmtma.2013.mssvm16 UR - https://global-sci.org/intro/article_detail/nmtma/5905.html KW - Surface reconstruction from a sparse vector field, augmented Lagrangian method, two-step method, curl-free constraint, total variation regularization, preservation of discontinuities in surface normal vectors. AB -

In this paper, we present a surface reconstruction via 2D strokes and a vector field on the strokes based on a two-step method. In the first step, from sparse strokes drawn by artists and a given vector field on the strokes, we propose a nonlinear vector interpolation combining total variation (TV) and $H^1$ regularization with a curl-free constraint for obtaining a dense vector field. In the second step, a height map is obtained by integrating the dense vector field in the first step. Jump discontinuities in surface and discontinuities of surface gradients can be well reconstructed without any surface distortion. We also provide a fast and efficient algorithm for solving the proposed functionals. Since vectors on the strokes are interpreted as a projection of surface gradients onto the plane, different types of strokes are easily devised to generate geometrically crucial structures such as ridge, valley, jump, bump, and dip on the surface. The stroke types help users to create a surface which they intuitively imagine from 2D strokes. We compare our results with conventional methods via many examples.

Jooyoung Hahn, Jie Qiu, Eiji Sugisaki, Lei Jia, Xue-Cheng Tai & Hock Soon Seah. (2020). Stroke-Based Surface Reconstruction. Numerical Mathematics: Theory, Methods and Applications. 6 (1). 297-324. doi:10.4208/nmtma.2013.mssvm16
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