Feature-Specification Algorithm Based on Snake Model for Facial Image Morphing
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概要
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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 tips, 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.
- 1999-02-25
著者
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Hassanien A‐e
Tokyo Inst. Technol. Tokyo Jpn
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Hassanien Aboul-ella
Computer Science Department Graduate School Of Information Science & Engineering Tokyo Institute
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NAKAJIMA Masayuki
Computer Science Department, Graduate School of Information Science & Engineering, Tokyo Institute o
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Nakajima Masayuki
Computer Science Department Graduate School Of Information Science & Engineering Tokyo Institute
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Nakajima Masayuki
Computer Science Department Graduate School Of Information Science & Engineering Tokyo Institute
関連論文
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- Feature-Specification Algorithm Based on Snake Model for Facial Image Morphing