An RBF-based reparameterization method for constrained texture mapping

Hongchuan Yu, Tong Yee Lee, I. Cheng Yeh, X. Yang, Wenxi Li, Jian J. Zhang

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)


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.

Original languageEnglish
Article number5928343
Pages (from-to)1115-1124
Number of pages10
JournalIEEE Transactions on Visualization and Computer Graphics
Issue number7
Publication statusPublished - 2012

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design


Dive into the research topics of 'An RBF-based reparameterization method for constrained texture mapping'. Together they form a unique fingerprint.

Cite this