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ACCURATE SILHOUETTE VECTORIZATION BY AFFINE SCALE-SPACE

Citation Author(s):
Yuchen He, Sung Ha Kang, Jean-Michel Morel
Submitted by:
Yuchen He
Last updated:
23 September 2021 - 10:47pm
Document Type:
Poster
Document Year:
2021
Event:
Presenters Name:
Yuchen He
Paper Code:
2504

Abstract 

Abstract: 

Binary shapes, or silhouettes, are essential in human communication. They include, for example, all fonts and many logos. They can be extracted from images in raster form but require a vectorization for resolution independent editing. In this paper, we propose a mathematically founded silhouette vectorization algorithm, which converts a raster 2D shape to a Scalable Vector Graphics (SVG) format whose control points are geometrically stable under affine transformations. The proposed method can also be used as a reliable feature point detector for silhouettes. Compared to state-of-the-art graphics software, our algorithm shows a superior reduction in the number of control points for an equal or better accuracy.

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Poster presented during the ICIP 2021

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