Title
Sketching human character animations by composing sequences from large motion database
Abstract
Quick creation of 3D character animations is an important task in game design, simulations, forensic animation, education, training, and more. We present a framework for creating 3D animated characters using a simple sketching interface coupled with a large, unannotated motion database that is used to find the appropriate motion sequences corresponding to the input sketches. Contrary to the previous work that deals with static sketches, our input sketches can be enhanced by motion and rotation curves that improve matching in the context of the existing animation sequences. Our framework uses animated sequences as the basic building blocks of the final animated scenes, and allows for various operations with them such as trimming, resampling, or connecting by use of blending and interpolation. A database of significant and unique poses, together with a two-pass search running on the GPU, allows for interactive matching even for large amounts of poses in a template database. The system provides intuitive interfaces, an immediate feedback, and poses very small requirements on the user. A user study showed that the system can be used by novice users with no animation experience or artistic talent, as well as by users with an animation background. Both groups were able to create animated scenes consisting of complex and varied actions in less than 20 minutes.
Year
DOI
Venue
2014
10.1007/s00371-013-0797-1
The Visual Computer
Keywords
Field
DocType
animated scene,forensic animation,final animated scene,animation experience,animated character,animation background,composing sequence,human character animation,existing animation sequence,animated sequence,large motion database,input sketch,character animation
Computer graphics (images),Computer science,Interpolation,Character animation,Artificial intelligence,Skeletal animation,Computer vision,Game design,Animation,Computer animation,Animated mapping,Trimming,Database
Journal
Volume
Issue
ISSN
30
2
1432-2315
Citations 
PageRank 
References 
16
0.56
33
Authors
5
Name
Order
Citations
PageRank
Innfarn Yoo1212.69
Juraj Vanek21697.14
Maria Nizovtseva3160.56
Nicoletta Adamo-Villani411021.19
Bedrich Benes5127680.15