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An RBF-based reparameterization method for constrained texture mapping
- Publication Year :
- 2012
-
Abstract
- Texture mapping has long been used in computer graphics to \ud 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 \ud research efforts, the construction of a mathematically robust, foldover‐free parameterization that is subject to \ud positional constraints continues to be a challenge. In the \ud present paper, this foldover problem is addressed by developing radial basis function (RBF) based reparameterization. Given initial 2D embedding of a 3D \ud surface, the proposed method can reparameterize 2D embedding into a foldover ‐free 2D mesh, satisfying a set \ud of user‐specified constraint points. In addition, this approach is mesh‐free. Therefore, generating smooth texture \ud mapping results is possible without extra smoothing optimization.
- Subjects :
- Pixel
business.industry
Computer science
Iterative method
Feature extraction
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Computer Graphics and Computer-Aided Design
Computer graphics
Image texture
Mesh generation
Feature (computer vision)
Signal Processing
Embedding
Computer vision
Computer Vision and Pattern Recognition
Artificial intelligence
business
Texture mapping
Algorithm
Software
Smoothing
ComputingMethodologies_COMPUTERGRAPHICS
Subjects
Details
- Language :
- English
- ISSN :
- 10772626
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....51204a2534312687f099f77844dc99b0