Correspondence specification learned from master frames for automatic inbetweening

Verfasser / Beitragende:
[Bingwen Jin, Weidong Geng]
Ort, Verlag, Jahr:
2015
Enthalten in:
Multimedia Tools and Applications, 74/13(2015-07-01), 4873-4889
Format:
Artikel (online)
ID: 605447381
LEADER caa a22 4500
001 605447381
003 CHVBK
005 20210128100132.0
007 cr unu---uuuuu
008 210128e20150701xx s 000 0 eng
024 7 0 |a 10.1007/s11042-013-1847-4  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s11042-013-1847-4 
245 0 0 |a Correspondence specification learned from master frames for automatic inbetweening  |h [Elektronische Daten]  |c [Bingwen Jin, Weidong Geng] 
520 3 |a 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. 
540 |a Springer Science+Business Media New York, 2014 
690 7 |a Facial cartoon animation  |2 nationallicence 
690 7 |a Inbetweening  |2 nationallicence 
690 7 |a Keyframe  |2 nationallicence 
690 7 |a Correspondence specification  |2 nationallicence 
700 1 |a Jin  |D Bingwen  |u State Key Lab of CAD&CG, College of Computer Science and Technology, Zhejiang University, Hangzhou, China  |4 aut 
700 1 |a Geng  |D Weidong  |u State Key Lab of CAD&CG, College of Computer Science and Technology, Zhejiang University, Hangzhou, China  |4 aut 
773 0 |t Multimedia Tools and Applications  |d Springer US; http://www.springer-ny.com  |g 74/13(2015-07-01), 4873-4889  |x 1380-7501  |q 74:13<4873  |1 2015  |2 74  |o 11042 
856 4 0 |u https://doi.org/10.1007/s11042-013-1847-4  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s11042-013-1847-4  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Jin  |D Bingwen  |u State Key Lab of CAD&CG, College of Computer Science and Technology, Zhejiang University, Hangzhou, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Geng  |D Weidong  |u State Key Lab of CAD&CG, College of Computer Science and Technology, Zhejiang University, Hangzhou, China  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Multimedia Tools and Applications  |d Springer US; http://www.springer-ny.com  |g 74/13(2015-07-01), 4873-4889  |x 1380-7501  |q 74:13<4873  |1 2015  |2 74  |o 11042