NDLI: Automatic and topology-preserving gradient mesh generation for image vectorization

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Automatic and topology-preserving gradient mesh generation for image vectorization

Content Provider	ACM Digital Library
Author	Hu, Shi-Min Martin, Ralph R. Lai, Yu-Kun
Abstract	Gradient mesh vector graphics representation, used in commercial software, is a regular grid with specified position and color, and their gradients, at each grid point. Gradient meshes can compactly represent smoothly changing data, and are typically used for single objects. This paper advances the state of the art for gradient meshes in several significant ways. Firstly, we introduce a topology-preserving gradient mesh representation which allows an arbitrary number of holes. This is important, as objects in images often have holes, either due to occlusion, or their 3D structure. Secondly, our algorithm uses the concept of image manifolds, adapting surface parameterization and fitting techniques to generate the gradient mesh in a fully automatic manner. Existing gradient-mesh algorithms require manual interaction to guide grid construction, and to cut objects with holes into disk-like regions. Our new algorithm is empirically at least 10 times faster than previous approaches. Furthermore, image segmentation can be used with our new algorithm to provide automatic gradient mesh generation for a whole image. Finally, fitting errors can be simply controlled to balance quality with storage.
Starting Page	1
Ending Page	8
Page Count	8
File Format	PDF MP4
ISBN	9781605587264
DOI	10.1145/1576246.1531391
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-07-27
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Gradient mesh Image vectorization Image manifold Parameterization
Content Type	Audio Text
Resource Type	Article

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