Yu, H., Lee, T.-Y., Yeh, I.-C., Yang, X., Li, W. and Zhang, J. J., 2012. An RBF-based reparameterization method for constrained texture mapping. IEEE Transactions on Visualization and Computer Graphics, 18 (7), 1115 - 1124 .
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Abstract
Texture mapping has long been used in computer graphics to enhance the realism of virtual scenes. However, to match the 3D model feature points with the corresponding pixels in a texture image, surface parameterization must satisfy specific positional constraints. However, despite numerous research efforts, the construction of a mathematically robust, foldover‐free parameterization that is subject to positional constraints continues to be a challenge. In the present paper, this foldover problem is addressed by developing radial basis function (RBF) based reparameterization. Given initial 2D embedding of a 3D surface, the proposed method can reparameterize 2D embedding into a foldover ‐free 2D mesh, satisfying a set of user‐specified constraint points. In addition, this approach is mesh‐free. Therefore, generating smooth texture mapping results is possible without extra smoothing optimization.
Item Type: | Article |
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ISSN: | 1077-2626 |
Group: | Faculty of Media & Communication |
ID Code: | 21416 |
Deposited By: | Symplectic RT2 |
Deposited On: | 10 Sep 2014 16:04 |
Last Modified: | 14 Mar 2022 13:49 |
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