Field‐aligned Quadrangulation for Image Vectorization. (14th November 2019)

• Record Type: Journal Article
• Authors: Wei, Guangshun; Zhou, Yuanfeng; Gao, Xifeng; Ma, Qian; Xin, Shiqing; He, Ying
• Is Part Of: Computer graphics forum. Volume 38:Number 7(2019)
• Page Start: 171
• Page End: 180
• Publication Date: 2019-11-14
• Subjects: Categories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Image processing; Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.13826
• Languages: English
• ISSNs: 0167-7055

Abstract

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.