State Based Motion Transitions Using Framespace Interpolation » książka
State Based Motion Transitions Using Framespace Interpolation
ISBN-13: 9783639173109 / Angielski / Miękka / 2009 / 240 str.
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/framespac
Most motion editing techniques require significantcomputation resources or considerable manualannotation. This thesis proposes analyticalclassification and correspondence techniques tosupport consistent interpolation between pairs orquadruples of motion clips. The main contributionsare: a) Motion clips are labeled with locomotion andgeneric kinematic joint level events; b) These eventlabels are gathered intostates during inter-motion correspondence; c) Anefficient globally optimal correspondence betweenstates is performed, preserving state sequences; d)Weights gathered from a spline function drive afrequency and spatial domain motion transition,preserving locomotion contact constraints. The thesisextensively examines the application of the frameworkto a wide variety of motions, unlike peer methods. Itproves the limitations of widely cited low-levelsignal-correspondence techniques in addressingtransitions between different types of motions; e.g.running and dancing. Useful additions includeunlimited motion chains and decoupledupperbody-lowerbody interpolations. Key results andcomparisons have been posted athttp://www.comp.nus.edu.sg/~ashraf/framespace
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