Abstract
The interpolation of scattered data is a problem that is appearing in science and engineering. In this paper, we presents a warping algorithm using thin plate spline, a well known scattered data method which has several advantages. It is efficient in time complexity and smoothed interpolated morphed images with only a remarkably small number of feature points specified. It allows each feature point to be mapped to the corresponding feature point in the warped image. Once the image warped to align the positions of feature and their shapes. The in-between images from given two images could be defined by cross dissolving the positions of correspondence features and their shapes and colors. We adopt a semiautomatic algorithm based on ziplock snake model for the establishment of these correspondence points. We also, describe an efficient cross dissolve algorithm to generate the in-between images. Comparison with other two acattered data methods ; radial basis function and elastic body spline are explained.
