FTP-SC : fuzzy topology preserving stroke correspondence
Stroke correspondence construction is a precondition for vectorized 2D animation inbetweening and remains a challenging problem. This paper introduces the FTP-SC, a fuzzy topology preserving stroke correspondence technique, which is accurate and provides the user more effective control on the corres...
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sg-ntu-dr.10356-1390732020-05-15T05:10:24Z FTP-SC : fuzzy topology preserving stroke correspondence Yang, Wenwu Seah, Hock-Soon Chen, Quan Liew, Hong-Ze Sýkora, Daniel School of Computer Science and Engineering Engineering::Computer science and engineering Animation Parametric Curve And Surface Models Stroke correspondence construction is a precondition for vectorized 2D animation inbetweening and remains a challenging problem. This paper introduces the FTP-SC, a fuzzy topology preserving stroke correspondence technique, which is accurate and provides the user more effective control on the correspondence result than previous matching approaches. The method employs a two-stage scheme to progressively establish the stroke correspondence construction between the keyframes. In the first stage, the stroke correspondences with high confidence are constructed by enforcing the preservation of the so-called “fuzzy topology” which encodes intrinsic connectivity among the neighboring strokes. Starting with the high-confidence correspondences, the second stage performs a greedy matching algorithm to generate a full correspondence between the strokes. Experimental results show that the FTP-SC outperforms the existing approaches and can establish the stroke correspondence with a reasonable amount of user interaction even for keyframes with large geometric and spatial variations between strokes. Accepted version 2020-05-15T05:10:23Z 2020-05-15T05:10:23Z 2018 Journal Article Yang, W., Seah, H.-S., Chen, Q., Liew, H.-Z., & Sýkora, D. (2018). FTP-SC : fuzzy topology preserving stroke correspondence. Computer Graphics Forum, 37(8), 125-135. doi:10.1111/cgf.13518 0167-7055 https://hdl.handle.net/10356/139073 10.1111/cgf.13518 2-s2.0-85053255858 8 37 125 135 en Computer Graphics Forum This is the peer reviewed version of the following article: Yang, W., Seah, H.-S., Chen, Q., Liew, H.-Z., & Sýkora, D. (2018). FTP-SC : fuzzy topology preserving stroke correspondence. Computer Graphics Forum, 37(8), 125-135. doi:10.1111/cgf.13518, which has been published in final form at 10.1111/cgf.13518. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. application/pdf |
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Engineering::Computer science and engineering Animation Parametric Curve And Surface Models Yang, Wenwu Seah, Hock-Soon Chen, Quan Liew, Hong-Ze Sýkora, Daniel FTP-SC : fuzzy topology preserving stroke correspondence |
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Stroke correspondence construction is a precondition for vectorized 2D animation inbetweening and remains a challenging problem. This paper introduces the FTP-SC, a fuzzy topology preserving stroke correspondence technique, which is accurate and provides the user more effective control on the correspondence result than previous matching approaches. The method employs a two-stage scheme to progressively establish the stroke correspondence construction between the keyframes. In the first stage, the stroke correspondences with high confidence are constructed by enforcing the preservation of the so-called “fuzzy topology” which encodes intrinsic connectivity among the neighboring strokes. Starting with the high-confidence correspondences, the second stage performs a greedy matching algorithm to generate a full correspondence between the strokes. Experimental results show that the FTP-SC outperforms the existing approaches and can establish the stroke correspondence with a reasonable amount of user interaction even for keyframes with large geometric and spatial variations between strokes. |
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School of Computer Science and Engineering |
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School of Computer Science and Engineering Yang, Wenwu Seah, Hock-Soon Chen, Quan Liew, Hong-Ze Sýkora, Daniel |
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Article |
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Yang, Wenwu Seah, Hock-Soon Chen, Quan Liew, Hong-Ze Sýkora, Daniel |
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Yang, Wenwu |
title |
FTP-SC : fuzzy topology preserving stroke correspondence |
title_short |
FTP-SC : fuzzy topology preserving stroke correspondence |
title_full |
FTP-SC : fuzzy topology preserving stroke correspondence |
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FTP-SC : fuzzy topology preserving stroke correspondence |
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FTP-SC : fuzzy topology preserving stroke correspondence |
title_sort |
ftp-sc : fuzzy topology preserving stroke correspondence |
publishDate |
2020 |
url |
https://hdl.handle.net/10356/139073 |
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1681059790782988288 |