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State Based Motion Transitions Using Framespace Interpolation
Matching and Mixing Motions While Preserving Key Features
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Most motion editing techniques require significant§computation resources or considerable manual§annotation. This thesis proposes analytical§classification and correspondence techniques to§support consistent interpolation between pairs or§quadruples of motion clips. The main contributions§are: a) Motion clips are labeled with locomotion and§generic kinematic joint level events; b) These event§labels are gathered into§states during inter-motion correspondence; c) An§efficient globally optimal correspondence between§states is performed, preserving state sequences; d)§Weights gathered from a spline function drive a§frequency and spatial domain motion transition,§preserving locomotion contact constraints. The thesis§extensively examines the application of the framework§to a wide variety of motions, unlike peer methods. It§proves the limitations of widely cited low-level§signal-correspondence techniques in addressing§transitions between different types of motions; e.g.§running and dancing. Useful additions include§unlimited motion chains and decoupled§upperbody-lowerbody interpolations. Key results and§comparisons have been posted at§http://www.comp.nus.edu.sg/~ashraf/framespace
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