TY - JOUR
T1 - Animated construction of line drawings
AU - Fu, Hongbo
AU - Zhou, Shizhe
AU - Liu, Ligang
AU - Mitra, Niloy J.
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: We thank the reviewers for their constructive comments, the many participants of the user studies for their time, Gail Redman for video narration, Kanlun Cen for the line drawings used in this paper, and Wilmot Li for his many insightful comments. Hongbo Fu was supported by grants from CityU (No. SRG7002533), and the HKSAR Research Grants Council (No. 9041562); Ligang Liu was supported by the National Natural Science Foundation of China (61070071) and the 973 National Key Basic Research Foundation of China (2009CB320801); Niloy J. Mitra was partially supported by KAUST research network.
PY - 2012/10/19
Y1 - 2012/10/19
N2 - Revealing the sketching sequence of a line drawing can be visually intriguing and used for video-based storytelling. Typically this is enabled based on tedious recording of artists' drawing process. We demonstrate that it is often possible to estimate a reasonable drawing order from a static line drawing with clearly defined shape geometry, which looks plausible to a human viewer. We map the key principles of drawing order from drawing cognition to computational procedures in our framework. Our system produces plausible animated constructions of input line drawings, with no or little user intervention. We test our algorithm on a range of input sketches, with varying degree of complexity and structure, and evaluate the results via a user study. We also present applications to gesture drawing synthesis and drawing animation creation especially in the context of video scribing. © 2011 ACM.
AB - Revealing the sketching sequence of a line drawing can be visually intriguing and used for video-based storytelling. Typically this is enabled based on tedious recording of artists' drawing process. We demonstrate that it is often possible to estimate a reasonable drawing order from a static line drawing with clearly defined shape geometry, which looks plausible to a human viewer. We map the key principles of drawing order from drawing cognition to computational procedures in our framework. Our system produces plausible animated constructions of input line drawings, with no or little user intervention. We test our algorithm on a range of input sketches, with varying degree of complexity and structure, and evaluate the results via a user study. We also present applications to gesture drawing synthesis and drawing animation creation especially in the context of video scribing. © 2011 ACM.
UR - http://hdl.handle.net/10754/575891
UR - http://dl.acm.org/citation.cfm?doid=2024156.2024167
UR - http://www.scopus.com/inward/record.url?scp=82455162694&partnerID=8YFLogxK
U2 - 10.1145/2024156.2024167
DO - 10.1145/2024156.2024167
M3 - Article
SN - 0730-0301
VL - 30
JO - Proceedings of the 2011 SIGGRAPH Asia Conference on - SA '11
JF - Proceedings of the 2011 SIGGRAPH Asia Conference on - SA '11
IS - 6
ER -