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User‐Guided Facial Animation through an Evolutionary Interface
Author(s) -
Reed K.,
Cosker D.
Publication year - 2019
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/cgf.13612
Subject(s) - animation , computer science , computer facial animation , computer animation , interactive skeleton driven simulation , human–computer interaction , computer graphics (images) , facial motion capture , interface (matter) , user interface , skeletal animation , point (geometry) , face (sociological concept) , artificial intelligence , facial recognition system , face detection , programming language , pattern recognition (psychology) , mathematics , social science , geometry , bubble , maximum bubble pressure method , parallel computing , sociology
We propose a design framework to assist with user‐generated content in facial animation — without requiring any animation experience or ground truth reference. Where conventional prototyping methods rely on handcrafting by experienced animators, our approach looks to encode the role of the animator as an Evolutionary Algorithm acting on animation controls, driven by visual feedback from a user. Presented as a simple interface, users sample control combinations and select favourable results to influence later sampling. Over multiple iterations of disregarding unfavourable control values, parameters converge towards the user's ideal. We demonstrate our framework through two non‐trivial applications: creating highly nuanced expressions by evolving control values of a face rig and non‐linear motion through evolving control point positions of animation curves.