Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/151963
Title: Field-aligned quadrangulation for image vectorization
Authors: Wei, Guangshun
Zhou, Yuanfeng
Gao, Xifeng
Ma, Qian
Xin, Shiqing
He, Ying
Keywords: Engineering::Computer science and engineering
Issue Date: 2019
Source: Wei, G., Zhou, Y., Gao, X., Ma, Q., Xin, S. & He, Y. (2019). Field-aligned quadrangulation for image vectorization. Computer Graphics Forum, 38(7), 171-180. https://dx.doi.org/10.1111/cgf.13826
Project: RG26/17
Journal: Computer Graphics Forum
Abstract: Image vectorization is an important yet challenging problem, especially when the input image has rich content. In this paper, we develop a novel method for automatically vectorizing natural images with feature-aligned quad-dominant meshes. Inspired by the quadrangulation methods in 3D geometry processing, we propose a new directional field optimization technique by encoding the color gradients, sidestepping the explicit computing of salient image features. We further compute the anisotropic scales of the directional field by accommodating the distance among image features. Our method is fully automatic and efficient, which takes only a few seconds for a 400×400 image on a normal laptop. We demonstrate the effectiveness of the proposed method on various image editing applications.
URI: https://hdl.handle.net/10356/151963
ISSN: 0167-7055
DOI: 10.1111/cgf.13826
Rights: © 2019 The Author(s). Computer Graphics Forumc © 2019 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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