Title :
Cartoon image vectorization based on shape subdivision
Author :
Zou, Ju Jia ; Yan, Hong
Author_Institution :
Sch. of Electr. & Inf. Eng., Sydney Univ., NSW, Australia
Abstract :
This paper presents a non-pixel-based skeletonization method for vectorizing cartoon images. The constrained Delaunay triangulation technique is applied to subdivide a shape into a set of non-overlapping triangles. Then, certain triangles in the triangulation are merged to remove artifacts. The skeleton of a shape is obtained from the skeletons of its constituent parts. Experimental results show that the proposed method is more accurate and efficient than a typical thinning method
Keywords :
art; computational geometry; computer animation; image thinning; mesh generation; cartoon image vectorization; computer animation; constrained Delaunay triangulation; experimental results; nonoverlapping triangles; nonpixel-based skeletonization method; shape subdivision; Acceleration; Animation; Computer graphics; Image converters; Interpolation; Merging; Painting; Production; Shape; Skeleton;
Conference_Titel :
Computer Graphics International 2001. Proceedings
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-1007-8
DOI :
10.1109/CGI.2001.934678
