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Title: eHeritage of shadow puppetry: Creation and manipulation
Authors: Lin, M.
Hu, Z.
Liu, S. 
Wang, M.
Hong, R.
Yan, S. 
Keywords: Animation
Chinese shadow puppetry
Face rendering
Sparsity optimiza- Tion over simplex
Issue Date: 2013
Citation: Lin, M.,Hu, Z.,Liu, S.,Wang, M.,Hong, R.,Yan, S. (2013). eHeritage of shadow puppetry: Creation and manipulation. MM 2013 - Proceedings of the 2013 ACM Multimedia Conference : 183-192. ScholarBank@NUS Repository.
Abstract: To preserve the precious traditional heritage Chinese shadow puppetry, we propose the puppetry eHeritage, including a creator module and a manipulator module. The creator module accepts a frontal view face image and a profile face image of the user as input, and automatically generates the corresponding puppet, which looks like the original person and meanwhile has some typical characteristics of traditional Chinese shadow puppetry. In order to create the puppet, we first extract the central profile curve and warp the reference puppet eye and eyebrow to the shape of the frontal view eye and eyebrow. Then we transfer the puppet texture to the real face area. The manipulator module can accept the script provided by the user as input and automatically gener- Ate the motion sequences. Technically, we first learn atomic motions from a set of shadow puppetry videos. A scripting system converts the user's input to atomic motions, and fi- nally synthesizes the animation based on the atomic motion instances. For better visual effects, we propose the sparsity optimization over simplexes formulation to automatically as- semble weighted instances of different atomic actions into a smooth shadow puppetry animation sequence. We evaluate the performance of the creator module and the manipula- Tor module sequentially. Extensive experimental results on the creation of puppetry characters and puppetry plays well demonstrate the effectiveness of the proposed system. Copyright © 2013 ACM.
Source Title: MM 2013 - Proceedings of the 2013 ACM Multimedia Conference
ISBN: 9781450324045
DOI: 10.1145/2502081.2502104
Appears in Collections:Staff Publications

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