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Layered Performance Animation with Correlation Maps
Author(s) -
Neff Michael,
Albrecht Irene,
Seidel HansPeter
Publication year - 2007
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/j.1467-8659.2007.01091.x
Subject(s) - computer science , animation , character animation , skeletal animation , personalization , computer animation , gesture , set (abstract data type) , computer facial animation , process (computing) , character (mathematics) , input device , degree (music) , human–computer interaction , artificial intelligence , computer graphics (images) , computer hardware , programming language , geometry , mathematics , world wide web , physics , acoustics
Abstract Performance has a spontaneity and “aliveness” that can be difficult to capture in more methodical animation processes such as keyframing. Access to performance animation has traditionally been limited to either low degree of freedom characters or required expensive hardware. We present a performance‐based animation system for humanoid characters that requires no special hardware, relying only on mouse and keyboard input. We deal with the problem of controlling such a high degree of freedom model with low degree of freedom input through the use of correlation maps which employ 2D mouse input to modify a set of expressively relevant character parameters. Control can be continuously varied by rapidly switching between these maps. We present flexible techniques for varying and combining these maps and a simple process for defining them. The tool is highly configurable, presenting suitable defaults for novices and supporting a high degree of customization and control for experts. Animation can be recorded on a single pass, or multiple layers can be used to increase detail. Results from a user study indicate that novices are able to produce reasonable animations within their first hour of using the system. We also show more complicated results for walking and a standing character that gestures and dances.