Feature-Specification Algorithm Based on Snake Model for Facial Image Morphing

Abstract

In this paper a new snake model for image morphing with semiautomated delineation which depends on Hermite’s interpolation theory, is presented. The snake model will be used to specify the correspondence between features in two given images. It allows a user to extract a contour that defines a facial feature such as the lips, mouth, and profile, by only specifying the endpoints of the contour around the feature which we wish to define. We assume that the user can specify the endpoints of a curve around the features that serve as the extremities of a contour. The proposed method automatically computes the image information around these endpoints which provides the boundary conditions. Then the contour is optimized by taking this information into account near its extremities. During the iterative optimization process, the image forces are turned on progressively from the contour extremities toward the center to define the exact position of the feature. The proposed algorithm helps the user to easily define the exact position of a feature. It may also reduce the time required to establish the features of an image. key words: feature specification, image morphing, active contour model, Hermite’s theory, initialiation snakes

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Cite this paper

@inproceedings{Hassanien1999FeatureSpecificationAB, title={Feature-Specification Algorithm Based on Snake Model for Facial Image Morphing}, author={A. Hassanien and Masayuki Nakajima}, year={1999} }