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    Felizberta Lo Padilla Tong School of Social SciencesIp Ying To Lee Yu Yee School of Humanities and LanguagesRita Tong Liu School of Business and Hospitality ManagementS.K. Yee School of Health SciencesYam Pak Charitable Foundation School of Computing and Information Sciences
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  4. Deep line drawing vectorization via line subdivision and topology reconstruction
 
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Deep line drawing vectorization via line subdivision and topology reconstruction

Author(s)
Li, Chengze  
Author(s)
Guo, Y.
Zhang, Z.
Han, C.
Hu, W.
Wong, T.-T.
Date Issued
2019
Publisher
Wiley
Journal
Computer Graphics Forum
Volume
38
Issue
7
Start page
81
End page
90
Abstract
Vectorizing line drawing is necessary for the digital workflows of 2D animation and engineering design. But it is challenging due to the ambiguity of topology, especially at junctions. Existing vectorization methods either suffer from low accuracy or cannot deal with high-resolution images. To deal with a variety of challenging containing different kinds of complex junctions, we propose a two-phase line drawing vectorization method that analyzes the global and local topology. In the first phase, we subdivide the lines into partial curves, and in the second phase, we reconstruct the topology at junctions. With the overall topology estimated in the two phases, we can trace and vectorize the curves. To qualitatively and quantitatively evaluate our method and compare it with the existing methods, we conduct extensive experiments on not only existing datasets but also our newly synthesized dataset which contains different types of complex and ambiguous junctions. Experimental statistics show that our method greatly outperforms existing methods in terms of computational speed and achieves visually better topology reconstruction accuracy.
URI
https://repository.sfu.edu.hk/handle/sfu/2266
DOI
10.1111/cgf.13818
SFU Affiliated Publication
No
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