@article{Kim:2012:AEL,
| title | = | "Automating Expressive Locomotion Generation", |
| journal | = | "Transactions on Edutainment VII", |
| author | = | "Yejin
Kim AND Michael
Neff ", |
| year | = | "2012", |
| keywords | = | "Character animation, Locomotion style, Motion transition, Motion path, Motion capture data", |
| pages | = | "48--61", |
| volume | = | "LNCS 7145", |
| publisher | = | "Springer", |
| location | = | "Chengdu, China", |
| eventtime | = | "May, 2011", |
| abstract | = | "This paper introduces a system for expressive locomotion generation that takes as input a set of sample locomotion clips and a motion path. Significantly, the system only requires a single sample of straight-path locomotion for each style modeled and can produce output locomotion for an arbitrary path with arbitrary motion transition points. For efficient locomotion generation, we represent each sample with a loop sequence which encapsulates its key style and utilize these sequences throughout the synthesis process. Several techniques are applied to automate the synthesis: foot-plant detection from unlabeled samples, estimation of an adaptive blending length for a natural style change, and a post-processing step for enhancing the physical realism of the output animation. Compared to previous approaches, the system requires significantly less data and manual labor, while supporting a large range of styles.", |
