4D parametric motion graphs for interactive animation
Author(s) -
Dan Casas,
Margara Tejera,
JeanYves Guillemaut,
Adrian Hilton
Publication year - 2012
Publication title -
surrey open research repository (university of surrey)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2159616.2159633
Subject(s) - animation , computer science , computer graphics (images) , parametric statistics , computer animation , motion capture , representation (politics) , motion (physics) , character animation , computation , computer vision , skeletal animation , similarity (geometry) , sequence (biology) , artificial intelligence , polygon mesh , algorithm , computer facial animation , mathematics , statistics , politics , biology , political science , law , image (mathematics) , genetics
A 4D parametric motion graph representation is presented for interactive animation from actor performance capture in a multiple camera studio. The representation is based on a 4D model database of temporally aligned mesh sequence reconstructions for multiple motions. High-level movement controls such as speed and direction are achieved by blending multiple mesh sequences of related motions. A real-time mesh sequence blending approach is introduced which combines the realistic deformation of previous non-linear solutions with efficient online computation. Transitions between different parametric motion spaces are evaluated in real-time based on surface shape and motion similarity. 4D parametric motion graphs allow real-time interactive character animation while preserving the natural dynamics of the captured performance. © 2012 ACM
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom