Recovering tree shape frommotion capture data is a first step toward efficient and accurate animation of trees in wind usingmotion\r\ncapture data. Existing algorithms for generating models of tree branching structures for image synthesis in computer graphics are\r\nnot adapted to the unique data set provided by motion capture. We present a method for tree shape reconstruction using particle\r\nflow on input data obtained from a passive optical motion capture system. Initial branch tip positions are estimated from averaged\r\nand smoothed motion capture data. Branch tips, as particles, are also generated within a bounding space defined by a stack of\r\nbounding boxes or a convex hull.The particle flow, starting at branch tips within the bounding volume under forces, creates tree\r\nbranches. The forces are composed of gravity, internal force, and external force.The resulting shapes are realistic and similar to the\r\noriginal tree crown shape. Several tunable parameters provide control over branch shape and arrangement.
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