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Paper Detail

Paper IDSMR-3.10
Paper Title ACCURATE SILHOUETTE VECTORIZATION BY AFFINE SCALE-SPACE
Authors Yuchen He, Sung Ha Kang, Georgia Institute of Technology, United States; Jean-Michel Morel, École Normale Supérieure Paris-Saclay, France
SessionSMR-3: Image and Video Representation
LocationArea F
Session Time:Tuesday, 21 September, 15:30 - 17:00
Presentation Time:Tuesday, 21 September, 15:30 - 17:00
Presentation Poster
Topic Image and Video Sensing, Modeling, and Representation: Image & video representation
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
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.