BoLeRO: A Principled Technique for Including Bone Length Constraints in Motion Capture Occlusion Filling
journal contributionposted on 01.01.2006 by Lei Li, James McCann, Nancy Pollard, Christos Faloutsos
Any type of content formally published in an academic journal, usually following a peer-review process.
Given a motion capture sequence with occlusions, how can we recover the missing values, respecting bone-length constraints? Recent past work uses Linear Dynamical Systems (LDS), which work well, except for occasionally violating such constraints, and thus lead to unrealistic results. Our main contribution is a principled approach for preserving such distances. Specifically (a) we show how to formulate the problem as a constrained optimization problem, using two variations: hard constraints, and soft constraints; (b) we show how to efficiently solve both variations; (c) we demonstrate the realism of our approaches against competitors, on real motion capture data, illustrating that our ’soft constraints’ version eventually produces more realistic results.