Explore MATLAB source code curated for "薄板样条" with clean implementations, documentation, and examples.
The Thin Plate Spline (TPS) model performs non-rigid transformations to map source images to target images, making it highly valuable for image registration applications. Implementation involves solving a radial basis function interpolation problem with bending energy minimization.
Image registration process using thin plate splines involves the following steps: First, feature extraction from both images to obtain feature points; then finding matching feature pairs through similarity measurement. Accurate feature extraction ensures successful feature matching. Therefore, finding feature extraction methods with good invariance and accuracy is crucial for matching precision. This implementation uses thin plate splines for image registration, which provides smooth deformation fields while minimizing bending energy.
Thin Plate Spline Model: A Non-Rigid Interpolation Technique with MATLAB Implementation
A comprehensive guide to Thin Plate Spline (TPS) implementation including mathematical foundations, MATLAB code structure, and practical applications in geometric deformation and surface fitting.
MATLAB Code for Thin Plate Spline Implementation with Radial Basis Functions