| dc.contributor.author | Dong, Yuzhu | en_US |
| dc.contributor.author | Aloba, Aishat | en_US |
| dc.contributor.author | Anthony, Lisa | en_US |
| dc.contributor.author | Jain, Eakta | en_US |
| dc.contributor.editor | Jain, Eakta and Kosinka, Jirí | en_US |
| dc.date.accessioned | 2018-04-14T18:29:58Z | |
| dc.date.available | 2018-04-14T18:29:58Z | |
| dc.date.issued | 2018 | |
| dc.identifier.issn | 1017-4656 | |
| dc.identifier.uri | http://dx.doi.org/10.2312/egp.20181023 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/egp20181023 | |
| dc.description.abstract | Animated child characters are increasingly important for educational and entertainment content geared towards younger users. While motion capture technology creates realistic and believable motion for adult characters, the same type of data is hard to collect for young children. We aim to algorithmically transform adult motion capture data to look child-like. We implemented a warping based style translation algorithm, and show the results when this algorithm is applied to adult to child transformation. | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.title | Style Translation to Create Child-like Motion | en_US |
| dc.description.seriesinformation | EG 2018 - Posters | |
| dc.description.sectionheaders | Posters | |
| dc.identifier.doi | 10.2312/egp.20181023 | |
| dc.identifier.pages | 31-32 | |
