Image registration by local approximation methods
Image and Vision Computing
Principal Warps: Thin-Plate Splines and the Decomposition of Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Deformations incorporating rigid structures
Computer Vision and Image Understanding
A new class of oscillatory radial basis functions
Computers & Mathematics with Applications
A locally constrained radial basis function for registration and warping of images
Pattern Recognition Letters
Hi-index | 0.00 |
Image registration based on landmarks and radial basis functions (e.g. thin plate splines) results in global changes and deformation spreads over the entire resampled image. This paper presents a radial basis function for registration of local changes. The proposed research was based on study/analysis of profile for different radial basis functions, supporting local changes. The proposed function was designed to overcome the weaknesses, observed in other radial basis functions. The results are analyzed/compared on the basis of different properties and parameters discussed in this paper. Experimental results show that the proposed function improves the registration accuracy.