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30 October 2009 Interactive sketch animation by graph matching integrated with learning boundary detection
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Proceedings Volume 7496, MIPPR 2009: Pattern Recognition and Computer Vision; 74962T (2009) https://doi.org/10.1117/12.833331
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
In this paper, we study an integrated framework to generate expressive sketch animation from real video with user interaction. It consists of two mainly steps: (i) image sketch computation by a learning-based edge detector; (ii) temporal sketch propagation by a robust stochastic matching algorithm. In the first step, given a video clip, the edge probability map on each frame is first computed by a discriminative model that is trained with a collection of various features. A template sketch is flexibly extracted from the beginning frame by threshold tuning, where user intervention is allowed to perfect the sketch template. Then this template is matched and localized to the following image sketches over frames by the graph-based matching algorithm. User interaction is allowed to sequentially correct the matching results. A number of sketch animations from real videos are presented to verify this framework in the experiments.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Liangmei Hu, Henan Qu, and Han Lv "Interactive sketch animation by graph matching integrated with learning boundary detection", Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74962T (30 October 2009); https://doi.org/10.1117/12.833331
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