title: Natural character posing from a large motion database.
abstract: An interactive inverse kinematics approach robustly generates natural poses in a large human-reachable space. It employs adaptive kd clustering to select a representative frame set from a large motion database and employs sparse approximation to accelerate training and posing. Model training is required only once.
authors.lastname: Xiaomao Wu
authors.forename: M
authors.initials: M
authors.lastname: Tournier
authors.forename: L
authors.initials: L
authors.lastname: Reveret
mesh_terms: D001185:Artificial Intelligence; D001696:Biomechanical Phenomena; D003196:Computer Graphics; D016208:Databases, Factual; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D009068:Movement; D011187:Posture