Image morphing with snake model and thin-plate spline interpolation

Aboul Ella Hassanien; Masayuki Nakajima

doi:10.1117/12.290361

6 October 1997 Image morphing with snake model and thin-plate spline interpolation

Aboul Ella Hassanien, Masayuki Nakajima

Proceedings Volume 3229, Multimedia Storage and Archiving Systems II; (1997) https://doi.org/10.1117/12.290361
Event: Voice, Video, and Data Communications, 1997, Dallas, TX, United States

Abstract

The aim of this study is to propose a new solution to the following image morphing problems: feature specification, image warping and cross dissolve between two deformed images. First, we adopt a semi-automatic algorithm based on Ziplock snake to specify the feature correspondence between two given images. It allows a user to extract a contour that defines facial features such as lips, mouth, profile, etc., by specifying only endpoints of the contour around the feature that serve as the extremities of a contour. Then we use these two points as anchor points, and automatically computes the image information around these endpoints to provide boundary conditions. Next, we optimize the contour by taking this information into account first only close its extremities. During the iterative optimization process, the image forces are moving progressively from the contours extremities towards its center to define features. It helps the user to define easily the exact position of features. It may also reduce the time taken to establish feature correspondence between two images. For the second images morphing problem, this paper presents a warping algorithm using thin plate spline, a well known scattered data method which has several advantages. It is efficient in time complex and smoothed interpolated morphed images with only a remarkably small number of feature points specified. It allows each feature point to be mapped out the corresponding feature point in the warped image. Once the image warped to align the positions of feature and their shapes. The in-between animation from given two images could be defined by cross dissolving the positions of correspondence features and their shapes and colors. We describe an efficient cross dissolve algorithm to generate the in-between images.

Citation Download Citation

Aboul Ella Hassanien and Masayuki Nakajima "Image morphing with snake model and thin-plate spline interpolation", Proc. SPIE 3229, Multimedia Storage and Archiving Systems II, (6 October 1997); https://doi.org/10.1117/12.290361

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KEYWORDS

Image processing

Image morphing

Image segmentation

Mouth

Human-machine interfaces

Laser induced plasma spectroscopy

Distortion

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