The Robotics Institute

Carnegie Mellon Robotics Institute

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Abstract

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.

Notes

Text Reference

Junlei Li, James McCann, Nancy Pollard, and Christos Faloutsos, "BoLeRO: A Principled Technique for Including Bone Length Constraints in Motion Capture Occlusion Filling," ACM SIGGRAPH / Eurographics Symposium on Computer Animation, Madrid, Spain, September, 2010.

BibTeX Reference

@inproceedings{Li_2010_7275,
   author = "Junlei Li and James McCann and Nancy Pollard and Christos Faloutsos",
   title = "BoLeRO: A Principled Technique for Including Bone Length Constraints in Motion Capture Occlusion Filling",
   booktitle = "ACM SIGGRAPH / Eurographics Symposium on Computer Animation, Madrid, Spain",
   month = "September",
   year = "2010",
   number= "CMU-RI-TR-",
}

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