Spatial Motion Doodles: Sketching Animation in VR Using Hand Gestures and Laban Motion Analysis
| Autor: | Marie-Paule Cani, Rémi Ronfard, Maxime Garcia |
|---|---|
| Přispěvatelé: | Intuitive Modeling and Animation for Interactive Graphics & Narrative Environments (IMAGINE ), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Laboratoire Jean Kuntzmann (LJK ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]) |
| Rok vydání: | 2019 |
| Předmět: |
Motion analysis
Laban movement analysis Computer science Animation system 02 engineering and technology Virtual reality Motion (physics) Gesture recognition Laban Movement Analysis Computer graphics (images) Procedural animation 0202 electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences 050107 human factors ComputingMethodologies_COMPUTERGRAPHICS 05 social sciences Character Animation 020207 software engineering Animation [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR] Expressive animation CCS CONCEPTS • Computing methodologies → Procedural animation Character animation Motion processing Gesture |
| Zdroj: | MIG MIG 2019-ACM SIGGRAPH Conference on Motion, Interaction and Games MIG 2019-ACM SIGGRAPH Conference on Motion, Interaction and Games, Oct 2019, Newcastle upon Tyne, United Kingdom. ⟨10.1145/3359566.3360061⟩ |
| DOI: | 10.1145/3359566.3360061 |
| Popis: | International audience; We present a method for easily drafting expressive character animation by playing with instrumented rigid objects. We parse the input 6D trajectories (position and orientation over time)-called spatial motion doodles-into sequences of actions and convert them into detailed character animations using a dataset of parameterized motion clips which are automatically fitted to the doodles in terms of global trajectory and timing. Moreover, we capture the expres-siveness of user-manipulation by analyzing Laban effort qualities in the input spatial motion doodles and transferring them to the synthetic motions we generate. We validate the ease of use of our system and the expressiveness of the resulting animations through a series of user studies, showing the interest of our approach for interactive digital storytelling applications dedicated to children and non-expert users, as well as for providing fast drafting tools for animators. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|