caa a22 4500 605447381 CHVBK 20210128100132.0 cr unu---uuuuu 210128e20150701xx s 000 0 eng 10.1007/s11042-013-1847-4 doi (NATIONALLICENCE)springer-10.1007/s11042-013-1847-4 Correspondence specification learned from master frames for automatic inbetweening [Elektronische Daten] [Bingwen Jin, Weidong Geng] We present a new approach to automatically specify the correspondences between hand-drawn keyframes for automatic inbetweening in 2D facial cartoon animation. Recent techniques are not robust to occlusion as they mainly rely on the information provided by the keyframes, which are 2D drawings lacking 3D information. Our approach creates a hybrid face model to learn the prior knowledge about the approximate 3D geometry and multi-view appearances of an individual character's face from master frames to overcome the lack of information. Based on the hybrid model, we combine our example-based stroke annotating method with our example-based viewpoint recognition method to automatically specify accurate stroke correspondences, even when there is occlusion. Our approach facilitates auto-inbetweening much. Springer Science+Business Media New York, 2014 Facial cartoon animation nationallicence Inbetweening nationallicence Keyframe nationallicence Correspondence specification nationallicence Jin Bingwen State Key Lab of CAD&CG, College of Computer Science and Technology, Zhejiang University, Hangzhou, China aut Geng Weidong State Key Lab of CAD&CG, College of Computer Science and Technology, Zhejiang University, Hangzhou, China aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/13(2015-07-01), 4873-4889 1380-7501 74:13<4873 2015 74 11042 https://doi.org/10.1007/s11042-013-1847-4 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-013-1847-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Jin Bingwen State Key Lab of CAD&CG, College of Computer Science and Technology, Zhejiang University, Hangzhou, China aut NATIONALLICENCE 700 1- Geng Weidong State Key Lab of CAD&CG, College of Computer Science and Technology, Zhejiang University, Hangzhou, China aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/13(2015-07-01), 4873-4889 1380-7501 74:13<4873 2015 74 11042