Affiliation:
1. Department of Computer Engineering Sharif University of Technology Tehran Iran
2. Department of Computer Engineering Bilkent University Ankara Turkey
Abstract
AbstractThe movement style is an adequate descriptor of different personalities. While many studies investigate the relationship between apparent personality and high‐level motion qualities in humans, similar research for animal characters still needs to be done. The variety in animals' skeletal configurations and texture complicates their pose estimation process. Our affect analysis framework includes a workflow for pose extraction in animal characters and a parameterization of the high‐level animal motion descriptors inspired by Laban movement analysis. Using a data set of quadruped walk cycles, we prove the display of typologies in cartoon animal characters, reporting the point‐biserial correlation between our motion parameters and the Sasang categories that reflect different personalities.
Funder
Scientific and Technological Research Council of Turkey
Subject
Computer Graphics and Computer-Aided Design,Software