Issue No. 04 - July (1996 vol. 16)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/38.511850
A new algorithm is presented that computes the smooth in-betweening of two polygonal shapes based on fuzzy techniques. In this method, the vertex correspondence of the polygons under warping is established by maximizing the membership function of a fuzzy set of polygons. Then, the corresponding vertices are interpolated by interpolating an affine transformation, which is determined by maximizing the membership function of a fuzzy set of affine transformations. Normalized local coordinates are used in this interpolation. This approach can handle polygons with different location, orientation, size, and number of vertices. It can be extended to warping curved shapes. Several experimental results are presented to evaluate the performance of the method.
Warping polygons, vertex correspondence, vertex interpolation, fuzzy vertex correspondence, fuzzy interpolation, in-betweening of polygons, in-betweening of curved shapes.
Y. Zhang, "A Fuzzy Approach to Digital Image Warping," in IEEE Computer Graphics and Applications, vol. 16, no. , pp. 34-41, 1996.