Articulated object reconstruction and markerless motion capture from depth video

Yuri Pekelny, Craig Gotsman

Research output: Contribution to journalConference articlepeer-review

90 Scopus citations

Abstract

We present an algorithm for acquiring the 3D surface geometry and motion of a dynamic piecewise-rigid object using a single depth video camera. The algorithm identifies and tracks the rigid components in each frame, while accumulating the geometric information acquired over time, possibly from different viewpoints. The algorithm also reconstructs the dynamic skeleton of the object, thus can be used for markerless motion capture. The acquired model can then be animated to novel poses. We show the results of the algorithm applied to synthetic and real depth video.

Original languageEnglish (US)
Pages (from-to)399-408
Number of pages10
JournalComputer Graphics Forum
Volume27
Issue number2
DOIs
StatePublished - 2008
Externally publishedYes
Event29th Annual Conference on European Association for Computer Graphics, EUROGRAPHICS 2008 - Crete, Greece
Duration: Apr 14 2008Apr 18 2008

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design

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