KAUST DepartmentComputer Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Visual Computing Center (VCC)
Online Publication Date2012-10-19
Print Publication Date2011
Permanent link to this recordhttp://hdl.handle.net/10754/575891
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AbstractRevealing 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.
SponsorsWe 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.