@article {787,
	title = {Image metamorphosis transformation of facial images based on elastic body splines },
	journal = {Signal Processing  },
	year = {1998},
	pages = { 129{\textendash}137 },
	abstract = {<p>In this paper, we propose a new image metamorphosis algorithm which uses elastic body splines to generate warp functions for interpolating scattered data points. The spline is based on a partial differential equation proposed by Navier that describes the equilibrium displacement of an elastic body subjected to forces. The spline maps can be expressed as the linear combination of an affine transformation and a Navier spline. The proposed algorithm generates a smooth warp that reflects feature point correspondences. It is efficient in time complexity and smoothly interpolated morphed images with only a remarkably small number of specified feature points. The algorithm allows each feature point in the source image to be mapped to the corresponding feature point in the destination image. Once the images are warped to align the positions of features and their shapes, the in-between facial animation from two given facial images can be defined by cross dissolving the positions of correspondence features and their shapes and colors. We describe an efficient cross-dissolve algorithm for generating the in-between images</p>
},
	url = {http://www.sciencedirect.com/science/article/pii/S0165168498001182},
	attachments = {https://scholar.cu.edu.eg/sites/default/files/abo/files/s01651684.gif},
	author = {Hassanien Aboul-Ella and Masayuki Nakajima}
}
