Adaptive motion synthesis for virtual characters: a survey
Authors: Guo, S., Southern, R., Chang, J., Greer, D. and Zhang, J.J.
Journal: The Visual Computer
eISSN: 1432-2315
ISSN: 0178-2789
DOI: 10.1007/s00371-014-0943-4
Abstract:Character motion synthesis is the process of artificially generating natural motion for a virtual character. In film, motion synthesis can be used to generate difficult or dangerous stunts without putting performers at risk. In computer games and virtual reality, motion synthesis enriches the player or participant experience by allowing for unscripted and emergent character behavior. In each of these applications the ability to adapt to changes to environmental conditions or to the character in a smooth and natural manner, while still conforming with user-specified constraints, determines the utility of a method to animators and industry practitioners. This focus on adaptation capability distinguishes our survey from other reviews which focus on general technology developments. Three main methodologies (example-based; simulation-based and hybrid) are summarised and evaluated using compound metrics: adaptivity, naturalness and controllability. By assessing existing techniques according to this classification we are able to determine how well a method corresponds to users' expectations. We discuss optimization strategies commonly used in motion synthesis literature, and also contemporary perspectives from biology which give us a deeper insight into this problem. We also present observations and reflections from industry practitioners to reveal the operational constraints of character motion synthesis techniques. Our discussion and review presents a unique insight into the subject, and provide essential guidance when selecting appropriate methods to design an adaptive motion controller. © 2014 Springer-Verlag Berlin Heidelberg.
Source: Scopus
Adaptive motion synthesis for virtual characters: a survey
Authors: Guo, S., Southern, R., Chang, J., Greer, D. and Zhang, J.J.
Journal: VISUAL COMPUTER
Volume: 31
Issue: 5
Pages: 497-512
eISSN: 1432-2315
ISSN: 0178-2789
DOI: 10.1007/s00371-014-0943-4
Source: Web of Science (Lite)
Adaptive Motion Synthesis for Virtual Characters: A Survey
Authors: Southern, R., Guo, S., Greer, D., Chang, J. and Zhang, J.J.
Journal: The Visual Computer
Publisher: Springer Berlin Heidelberg
eISSN: 1432-2315
ISSN: 0178-2789
DOI: 10.1007/s00371-014-0943-4
Abstract:Character motion synthesis is the process of artificially generating natural motion for a virtual character. In film, motion synthesis can be used to generate difficult or dangerous stunts without putting performers at risk. In computer games and virtual reality, motion synthesis enriches the player or participant experience by allowing for unscripted and emergent character behavior. In each of these applications the ability to adapt to changes to environmental conditions or to the character in a smooth and natural manner, while still conforming with user-specified constraints, determines the utility of a method to animators and industry practitioners. This focus on adaptation capability distinguishes our survey from other reviews which focus on general technology developments. Three main methodologies (example-based; simulation-based and hybrid) are summarised and evaluated using compound metrics: adaptivity, naturalness and controllability. By assessing existing techniques according to this classification we are able to determine how well a method corresponds to users’ expectations. We discuss optimization strategies commonly used in motion synthesis literature, and also contemporary perspectives from biology which give us a deeper insight into this problem. We also present observations and reflections from industry practitioners to reveal the operational constraints of character motion synthesis techniques. Our discussion and review presents a unique insight into the subject, and provide essential guidance when selecting appropriate methods to design an adaptive motion controller.
http://link.springer.com/article/10.1007/s00371-014-0943-4
Source: Manual
Preferred by: Jian Chang, Jian Jun Zhang and Shihui Guo